Upload benchmark_matrix.json with huggingface_hub
Browse files- benchmark_matrix.json +386 -0
benchmark_matrix.json
ADDED
|
@@ -0,0 +1,386 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"title": "dispatchAI Per-Chip Benchmark Matrix",
|
| 3 |
+
"description": "On-device inference benchmarks for mobile LLMs across chipsets",
|
| 4 |
+
"hardware": {
|
| 5 |
+
"snapdragon_865": {
|
| 6 |
+
"chipset": "Qualcomm Snapdragon 865",
|
| 7 |
+
"cpu": "Kryo 585 (1x2.84GHz + 3x2.42GHz + 4x1.80GHz)",
|
| 8 |
+
"gpu": "Adreno 650",
|
| 9 |
+
"npu": "Hexagon Tensor Accelerator (HTP)",
|
| 10 |
+
"process_nm": 7,
|
| 11 |
+
"devices": [
|
| 12 |
+
"Samsung Galaxy S20 FE 5G"
|
| 13 |
+
]
|
| 14 |
+
},
|
| 15 |
+
"snapdragon_8_gen_2": {
|
| 16 |
+
"chipset": "Qualcomm Snapdragon 8 Gen 2",
|
| 17 |
+
"cpu": "Kryo CPU (1x3.2GHz + 2x2.8GHz + 2x3.0GHz + 3x2.0GHz)",
|
| 18 |
+
"gpu": "Adreno 740",
|
| 19 |
+
"npu": "Hexagon NPU ( Qualcomm AI Engine)",
|
| 20 |
+
"process_nm": 4,
|
| 21 |
+
"devices": [
|
| 22 |
+
"Samsung Galaxy S23",
|
| 23 |
+
"OnePlus 11"
|
| 24 |
+
]
|
| 25 |
+
},
|
| 26 |
+
"apple_a17_pro": {
|
| 27 |
+
"chipset": "Apple A17 Pro",
|
| 28 |
+
"cpu": "2x3.78GHz + 4x2.11GHz",
|
| 29 |
+
"gpu": "Apple GPU 6-core",
|
| 30 |
+
"npu": "Neural Engine 16-core (35 TOPS)",
|
| 31 |
+
"process_nm": 3,
|
| 32 |
+
"devices": [
|
| 33 |
+
"iPhone 15 Pro"
|
| 34 |
+
]
|
| 35 |
+
},
|
| 36 |
+
"mediatek_dimensity_9200": {
|
| 37 |
+
"chipset": "MediaTek Dimensity 9200",
|
| 38 |
+
"cpu": "1x3.05GHz + 3x2.85GHz + 4x1.8GHz",
|
| 39 |
+
"gpu": "Immortalis-G715",
|
| 40 |
+
"npu": "APU 690",
|
| 41 |
+
"process_nm": 4,
|
| 42 |
+
"devices": [
|
| 43 |
+
"Various 2023 flagships"
|
| 44 |
+
]
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"models": [
|
| 48 |
+
{
|
| 49 |
+
"model_id": "dispatchAI/Qwen2.5-0.5B-Instruct-mobile-int4",
|
| 50 |
+
"base_model": "Qwen/Qwen2.5-0.5B-Instruct",
|
| 51 |
+
"params_m": 500,
|
| 52 |
+
"quant": "int4",
|
| 53 |
+
"size_mb": 350,
|
| 54 |
+
"architecture": "Qwen2.5",
|
| 55 |
+
"task": "text-generation"
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"model_id": "dispatchAI/Llama-3.2-1B-Instruct-mobile",
|
| 59 |
+
"base_model": "meta-llama/Llama-3.2-1B-Instruct",
|
| 60 |
+
"params_m": 1000,
|
| 61 |
+
"quant": "fp16",
|
| 62 |
+
"size_mb": 2000,
|
| 63 |
+
"architecture": "Llama-3.2",
|
| 64 |
+
"task": "text-generation"
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"model_id": "dispatchAI/SmolLM2-360M-Instruct-mobile",
|
| 68 |
+
"base_model": "HuggingFaceTB/SmolLM2-360M-Instruct",
|
| 69 |
+
"params_m": 360,
|
| 70 |
+
"quant": "fp16",
|
| 71 |
+
"size_mb": 720,
|
| 72 |
+
"architecture": "SmolLM2",
|
| 73 |
+
"task": "text-generation"
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"model_id": "dispatchAI/SmolLM2-135M-Instruct-mobile",
|
| 77 |
+
"base_model": "HuggingFaceTB/SmolLM2-135M-Instruct",
|
| 78 |
+
"params_m": 135,
|
| 79 |
+
"quant": "fp16",
|
| 80 |
+
"size_mb": 270,
|
| 81 |
+
"architecture": "SmolLM2",
|
| 82 |
+
"task": "text-generation"
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"model_id": "dispatchAI/TinyLlama-1.1B-Chat-Q5-mobile",
|
| 86 |
+
"base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
|
| 87 |
+
"params_m": 1100,
|
| 88 |
+
"quant": "Q5_K_M",
|
| 89 |
+
"size_mb": 450,
|
| 90 |
+
"architecture": "Llama-2",
|
| 91 |
+
"task": "text-generation"
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"model_id": "dispatchAI/Qwen2.5-1.5B-Instruct-Q5-mobile",
|
| 95 |
+
"base_model": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 96 |
+
"params_m": 1500,
|
| 97 |
+
"quant": "Q5_K_M",
|
| 98 |
+
"size_mb": 900,
|
| 99 |
+
"architecture": "Qwen2.5",
|
| 100 |
+
"task": "text-generation"
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"model_id": "dispatchAI/Gemma-2-2B-IT-Q5-mobile",
|
| 104 |
+
"base_model": "google/gemma-2-2b-it",
|
| 105 |
+
"params_m": 2000,
|
| 106 |
+
"quant": "Q5_K_M",
|
| 107 |
+
"size_mb": 1300,
|
| 108 |
+
"architecture": "Gemma-2",
|
| 109 |
+
"task": "text-generation"
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"model_id": "dispatchAI/Phi-3.5-mini-instruct-Q5-mobile",
|
| 113 |
+
"base_model": "microsoft/Phi-3.5-mini-instruct",
|
| 114 |
+
"params_m": 2000,
|
| 115 |
+
"quant": "Q5_K_M",
|
| 116 |
+
"size_mb": 1300,
|
| 117 |
+
"architecture": "Phi-3.5",
|
| 118 |
+
"task": "text-generation"
|
| 119 |
+
}
|
| 120 |
+
],
|
| 121 |
+
"results": [
|
| 122 |
+
{
|
| 123 |
+
"model_id": "dispatchAI/Qwen2.5-0.5B-Instruct-mobile-int4",
|
| 124 |
+
"base_model": "Qwen/Qwen2.5-0.5B-Instruct",
|
| 125 |
+
"architecture": "Qwen2.5",
|
| 126 |
+
"params_m": 500,
|
| 127 |
+
"quantization": "int4",
|
| 128 |
+
"size_mb": 350,
|
| 129 |
+
"task": "text-generation",
|
| 130 |
+
"device_serial": "R3CN509PLHA",
|
| 131 |
+
"device_model": "SM-G981V",
|
| 132 |
+
"chipset": "Snapdragon 865",
|
| 133 |
+
"chipset_family": "Qualcomm",
|
| 134 |
+
"cpu_cores": 8,
|
| 135 |
+
"ram_gb": 8,
|
| 136 |
+
"android_version": 13,
|
| 137 |
+
"prompt_tps": 47.5,
|
| 138 |
+
"generation_tps": 9.8,
|
| 139 |
+
"tokens_per_second": 9.8,
|
| 140 |
+
"notes": "Stable, good quality"
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"model_id": "dispatchAI/Qwen2.5-0.5B-Instruct-mobile-int4",
|
| 144 |
+
"base_model": "Qwen/Qwen2.5-0.5B-Instruct",
|
| 145 |
+
"architecture": "Qwen2.5",
|
| 146 |
+
"params_m": 500,
|
| 147 |
+
"quantization": "int4",
|
| 148 |
+
"size_mb": 350,
|
| 149 |
+
"task": "text-generation",
|
| 150 |
+
"device_serial": "R3CN50A0HSV",
|
| 151 |
+
"device_model": "SM-G981V",
|
| 152 |
+
"chipset": "Snapdragon 865",
|
| 153 |
+
"chipset_family": "Qualcomm",
|
| 154 |
+
"cpu_cores": 8,
|
| 155 |
+
"ram_gb": 8,
|
| 156 |
+
"android_version": 13,
|
| 157 |
+
"prompt_tps": 45.2,
|
| 158 |
+
"generation_tps": 9.5,
|
| 159 |
+
"tokens_per_second": 9.5,
|
| 160 |
+
"notes": "Stable"
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"model_id": "dispatchAI/Qwen2.5-0.5B-Instruct-mobile-int4",
|
| 164 |
+
"base_model": "Qwen/Qwen2.5-0.5B-Instruct",
|
| 165 |
+
"architecture": "Qwen2.5",
|
| 166 |
+
"params_m": 500,
|
| 167 |
+
"quantization": "int4",
|
| 168 |
+
"size_mb": 350,
|
| 169 |
+
"task": "text-generation",
|
| 170 |
+
"device_serial": "R3CN50AXHWE",
|
| 171 |
+
"device_model": "SM-G981V",
|
| 172 |
+
"chipset": "Snapdragon 865",
|
| 173 |
+
"chipset_family": "Qualcomm",
|
| 174 |
+
"cpu_cores": 8,
|
| 175 |
+
"ram_gb": 8,
|
| 176 |
+
"android_version": 13,
|
| 177 |
+
"prompt_tps": 43.8,
|
| 178 |
+
"generation_tps": 9.2,
|
| 179 |
+
"tokens_per_second": 9.2,
|
| 180 |
+
"notes": "Stable"
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"model_id": "dispatchAI/Llama-3.2-1B-Instruct-mobile",
|
| 184 |
+
"base_model": "meta-llama/Llama-3.2-1B-Instruct",
|
| 185 |
+
"architecture": "Llama-3.2",
|
| 186 |
+
"params_m": 1000,
|
| 187 |
+
"quantization": "fp16",
|
| 188 |
+
"size_mb": 2000,
|
| 189 |
+
"task": "text-generation",
|
| 190 |
+
"device_serial": "R3CN509PLHA",
|
| 191 |
+
"device_model": "SM-G981V",
|
| 192 |
+
"chipset": "Snapdragon 865",
|
| 193 |
+
"chipset_family": "Qualcomm",
|
| 194 |
+
"cpu_cores": 8,
|
| 195 |
+
"ram_gb": 8,
|
| 196 |
+
"android_version": 13,
|
| 197 |
+
"prompt_tps": 28.0,
|
| 198 |
+
"generation_tps": 6.5,
|
| 199 |
+
"tokens_per_second": 6.5,
|
| 200 |
+
"notes": "Usable, moderate speed"
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"model_id": "dispatchAI/Llama-3.2-1B-Instruct-mobile",
|
| 204 |
+
"base_model": "meta-llama/Llama-3.2-1B-Instruct",
|
| 205 |
+
"architecture": "Llama-3.2",
|
| 206 |
+
"params_m": 1000,
|
| 207 |
+
"quantization": "fp16",
|
| 208 |
+
"size_mb": 2000,
|
| 209 |
+
"task": "text-generation",
|
| 210 |
+
"device_serial": "R3CN50A0HSV",
|
| 211 |
+
"device_model": "SM-G981V",
|
| 212 |
+
"chipset": "Snapdragon 865",
|
| 213 |
+
"chipset_family": "Qualcomm",
|
| 214 |
+
"cpu_cores": 8,
|
| 215 |
+
"ram_gb": 8,
|
| 216 |
+
"android_version": 13,
|
| 217 |
+
"prompt_tps": 27.5,
|
| 218 |
+
"generation_tps": 6.3,
|
| 219 |
+
"tokens_per_second": 6.3,
|
| 220 |
+
"notes": "Usable"
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"model_id": "dispatchAI/SmolLM2-360M-Instruct-mobile",
|
| 224 |
+
"base_model": "HuggingFaceTB/SmolLM2-360M-Instruct",
|
| 225 |
+
"architecture": "SmolLM2",
|
| 226 |
+
"params_m": 360,
|
| 227 |
+
"quantization": "fp16",
|
| 228 |
+
"size_mb": 720,
|
| 229 |
+
"task": "text-generation",
|
| 230 |
+
"device_serial": "R3CN509PLHA",
|
| 231 |
+
"device_model": "SM-G981V",
|
| 232 |
+
"chipset": "Snapdragon 865",
|
| 233 |
+
"chipset_family": "Qualcomm",
|
| 234 |
+
"cpu_cores": 8,
|
| 235 |
+
"ram_gb": 8,
|
| 236 |
+
"android_version": 13,
|
| 237 |
+
"prompt_tps": 55.0,
|
| 238 |
+
"generation_tps": 12.1,
|
| 239 |
+
"tokens_per_second": 12.1,
|
| 240 |
+
"notes": "Good speed/quality balance"
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"model_id": "dispatchAI/SmolLM2-360M-Instruct-mobile",
|
| 244 |
+
"base_model": "HuggingFaceTB/SmolLM2-360M-Instruct",
|
| 245 |
+
"architecture": "SmolLM2",
|
| 246 |
+
"params_m": 360,
|
| 247 |
+
"quantization": "fp16",
|
| 248 |
+
"size_mb": 720,
|
| 249 |
+
"task": "text-generation",
|
| 250 |
+
"device_serial": "R3CN50A0HSV",
|
| 251 |
+
"device_model": "SM-G981V",
|
| 252 |
+
"chipset": "Snapdragon 865",
|
| 253 |
+
"chipset_family": "Qualcomm",
|
| 254 |
+
"cpu_cores": 8,
|
| 255 |
+
"ram_gb": 8,
|
| 256 |
+
"android_version": 13,
|
| 257 |
+
"prompt_tps": 53.2,
|
| 258 |
+
"generation_tps": 11.8,
|
| 259 |
+
"tokens_per_second": 11.8,
|
| 260 |
+
"notes": "Good balance"
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"model_id": "dispatchAI/SmolLM2-135M-Instruct-mobile",
|
| 264 |
+
"base_model": "HuggingFaceTB/SmolLM2-135M-Instruct",
|
| 265 |
+
"architecture": "SmolLM2",
|
| 266 |
+
"params_m": 135,
|
| 267 |
+
"quantization": "fp16",
|
| 268 |
+
"size_mb": 270,
|
| 269 |
+
"task": "text-generation",
|
| 270 |
+
"device_serial": "R3CN509PLHA",
|
| 271 |
+
"device_model": "SM-G981V",
|
| 272 |
+
"chipset": "Snapdragon 865",
|
| 273 |
+
"chipset_family": "Qualcomm",
|
| 274 |
+
"cpu_cores": 8,
|
| 275 |
+
"ram_gb": 8,
|
| 276 |
+
"android_version": 13,
|
| 277 |
+
"prompt_tps": 85.0,
|
| 278 |
+
"generation_tps": 18.3,
|
| 279 |
+
"tokens_per_second": 18.3,
|
| 280 |
+
"notes": "Very fast, limited quality"
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"model_id": "dispatchAI/SmolLM2-135M-Instruct-mobile",
|
| 284 |
+
"base_model": "HuggingFaceTB/SmolLM2-135M-Instruct",
|
| 285 |
+
"architecture": "SmolLM2",
|
| 286 |
+
"params_m": 135,
|
| 287 |
+
"quantization": "fp16",
|
| 288 |
+
"size_mb": 270,
|
| 289 |
+
"task": "text-generation",
|
| 290 |
+
"device_serial": "R3CN50A0HSV",
|
| 291 |
+
"device_model": "SM-G981V",
|
| 292 |
+
"chipset": "Snapdragon 865",
|
| 293 |
+
"chipset_family": "Qualcomm",
|
| 294 |
+
"cpu_cores": 8,
|
| 295 |
+
"ram_gb": 8,
|
| 296 |
+
"android_version": 13,
|
| 297 |
+
"prompt_tps": 82.5,
|
| 298 |
+
"generation_tps": 17.8,
|
| 299 |
+
"tokens_per_second": 17.8,
|
| 300 |
+
"notes": "Very fast"
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"model_id": "dispatchAI/TinyLlama-1.1B-Chat-Q5-mobile",
|
| 304 |
+
"base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
|
| 305 |
+
"architecture": "Llama-2",
|
| 306 |
+
"params_m": 1100,
|
| 307 |
+
"quantization": "Q5_K_M",
|
| 308 |
+
"size_mb": 450,
|
| 309 |
+
"task": "text-generation",
|
| 310 |
+
"device_serial": "R3CN509PLHA",
|
| 311 |
+
"device_model": "SM-G981V",
|
| 312 |
+
"chipset": "Snapdragon 865",
|
| 313 |
+
"chipset_family": "Qualcomm",
|
| 314 |
+
"cpu_cores": 8,
|
| 315 |
+
"ram_gb": 8,
|
| 316 |
+
"android_version": 13,
|
| 317 |
+
"prompt_tps": 26.5,
|
| 318 |
+
"generation_tps": 6.2,
|
| 319 |
+
"tokens_per_second": 6.2,
|
| 320 |
+
"notes": "Q5 quant, stable"
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"model_id": "dispatchAI/Qwen2.5-1.5B-Instruct-Q5-mobile",
|
| 324 |
+
"base_model": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 325 |
+
"architecture": "Qwen2.5",
|
| 326 |
+
"params_m": 1500,
|
| 327 |
+
"quantization": "Q5_K_M",
|
| 328 |
+
"size_mb": 900,
|
| 329 |
+
"task": "text-generation",
|
| 330 |
+
"device_serial": "R3CN509PLHA",
|
| 331 |
+
"device_model": "SM-G981V",
|
| 332 |
+
"chipset": "Snapdragon 865",
|
| 333 |
+
"chipset_family": "Qualcomm",
|
| 334 |
+
"cpu_cores": 8,
|
| 335 |
+
"ram_gb": 8,
|
| 336 |
+
"android_version": 13,
|
| 337 |
+
"prompt_tps": 18.0,
|
| 338 |
+
"generation_tps": 4.2,
|
| 339 |
+
"tokens_per_second": 4.2,
|
| 340 |
+
"notes": "Slower but higher quality"
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"model_id": "dispatchAI/Gemma-2-2B-IT-Q5-mobile",
|
| 344 |
+
"base_model": "google/gemma-2-2b-it",
|
| 345 |
+
"architecture": "Gemma-2",
|
| 346 |
+
"params_m": 2000,
|
| 347 |
+
"quantization": "Q5_K_M",
|
| 348 |
+
"size_mb": 1300,
|
| 349 |
+
"task": "text-generation",
|
| 350 |
+
"device_serial": "R3CN509PLHA",
|
| 351 |
+
"device_model": "SM-G981V",
|
| 352 |
+
"chipset": "Snapdragon 865",
|
| 353 |
+
"chipset_family": "Qualcomm",
|
| 354 |
+
"cpu_cores": 8,
|
| 355 |
+
"ram_gb": 8,
|
| 356 |
+
"android_version": 13,
|
| 357 |
+
"prompt_tps": 12.5,
|
| 358 |
+
"generation_tps": 3.0,
|
| 359 |
+
"tokens_per_second": 3.0,
|
| 360 |
+
"notes": "Slow but best quality"
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"model_id": "dispatchAI/Phi-3.5-mini-instruct-Q5-mobile",
|
| 364 |
+
"base_model": "microsoft/Phi-3.5-mini-instruct",
|
| 365 |
+
"architecture": "Phi-3.5",
|
| 366 |
+
"params_m": 2000,
|
| 367 |
+
"quantization": "Q5_K_M",
|
| 368 |
+
"size_mb": 1300,
|
| 369 |
+
"task": "text-generation",
|
| 370 |
+
"device_serial": "R3CN509PLHA",
|
| 371 |
+
"device_model": "SM-G981V",
|
| 372 |
+
"chipset": "Snapdragon 865",
|
| 373 |
+
"chipset_family": "Qualcomm",
|
| 374 |
+
"cpu_cores": 8,
|
| 375 |
+
"ram_gb": 8,
|
| 376 |
+
"android_version": 13,
|
| 377 |
+
"prompt_tps": 13.0,
|
| 378 |
+
"generation_tps": 3.1,
|
| 379 |
+
"tokens_per_second": 3.1,
|
| 380 |
+
"notes": "Comparable to Gemma"
|
| 381 |
+
}
|
| 382 |
+
],
|
| 383 |
+
"methodology": "Models run via llama-cli on Samsung S20 FE 5G (Snapdragon 865, 8GB RAM, Android 13). Prompt: 'The capital of France is', max_tokens=20, threads=4, context=512.",
|
| 384 |
+
"cost": "$0",
|
| 385 |
+
"date": "2026-06-26"
|
| 386 |
+
}
|