Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json
CHANGED
|
@@ -80,12 +80,12 @@
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.4.0",
|
| 83 |
-
"optimum_benchmark_commit": "
|
| 84 |
-
"transformers_version": "4.
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.33.0",
|
| 87 |
"accelerate_commit": null,
|
| 88 |
-
"diffusers_version": "0.
|
| 89 |
"diffusers_commit": null,
|
| 90 |
"optimum_version": null,
|
| 91 |
"optimum_commit": null,
|
|
@@ -99,7 +99,7 @@
|
|
| 99 |
"load": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
-
"max_ram":
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
@@ -108,31 +108,31 @@
|
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
"count": 1,
|
| 111 |
-
"total": 4.
|
| 112 |
-
"mean": 4.
|
| 113 |
"stdev": 0.0,
|
| 114 |
-
"p50": 4.
|
| 115 |
-
"p90": 4.
|
| 116 |
-
"p95": 4.
|
| 117 |
-
"p99": 4.
|
| 118 |
"values": [
|
| 119 |
-
4.
|
| 120 |
]
|
| 121 |
},
|
| 122 |
"throughput": null,
|
| 123 |
"energy": {
|
| 124 |
"unit": "kWh",
|
| 125 |
-
"cpu": 4.
|
| 126 |
-
"ram": 2.
|
| 127 |
"gpu": 0,
|
| 128 |
-
"total": 5.
|
| 129 |
},
|
| 130 |
"efficiency": null
|
| 131 |
},
|
| 132 |
"forward": {
|
| 133 |
"memory": {
|
| 134 |
"unit": "MB",
|
| 135 |
-
"max_ram":
|
| 136 |
"max_global_vram": null,
|
| 137 |
"max_process_vram": null,
|
| 138 |
"max_reserved": null,
|
|
@@ -140,57 +140,64 @@
|
|
| 140 |
},
|
| 141 |
"latency": {
|
| 142 |
"unit": "s",
|
| 143 |
-
"count":
|
| 144 |
-
"total": 1.
|
| 145 |
-
"mean": 0.
|
| 146 |
-
"stdev": 0.
|
| 147 |
-
"p50": 0.
|
| 148 |
-
"p90": 0.
|
| 149 |
-
"p95": 0.
|
| 150 |
-
"p99": 0.
|
| 151 |
"values": [
|
| 152 |
-
0.
|
| 153 |
-
0.
|
| 154 |
-
0.
|
| 155 |
-
0.
|
| 156 |
-
0.
|
| 157 |
-
0.
|
| 158 |
-
0.
|
| 159 |
-
0.
|
| 160 |
-
0.
|
| 161 |
-
0.
|
| 162 |
-
0.
|
| 163 |
-
0.
|
| 164 |
-
0.
|
| 165 |
-
0.
|
| 166 |
-
0.
|
| 167 |
-
0.
|
| 168 |
-
0.
|
| 169 |
-
0.
|
| 170 |
-
0.
|
| 171 |
-
0.
|
| 172 |
-
0.
|
| 173 |
-
0.
|
| 174 |
-
0.
|
| 175 |
-
0.
|
| 176 |
-
0.
|
| 177 |
-
0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 178 |
]
|
| 179 |
},
|
| 180 |
"throughput": {
|
| 181 |
"unit": "samples/s",
|
| 182 |
-
"value":
|
| 183 |
},
|
| 184 |
"energy": {
|
| 185 |
"unit": "kWh",
|
| 186 |
-
"cpu": 1.
|
| 187 |
-
"ram":
|
| 188 |
"gpu": 0.0,
|
| 189 |
-
"total": 1.
|
| 190 |
},
|
| 191 |
"efficiency": {
|
| 192 |
"unit": "samples/kWh",
|
| 193 |
-
"value":
|
| 194 |
}
|
| 195 |
}
|
| 196 |
}
|
|
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.4.0",
|
| 83 |
+
"optimum_benchmark_commit": "4756b5f702260c495d0af8c35cfc26bb79985303",
|
| 84 |
+
"transformers_version": "4.44.0",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.33.0",
|
| 87 |
"accelerate_commit": null,
|
| 88 |
+
"diffusers_version": "0.30.0",
|
| 89 |
"diffusers_commit": null,
|
| 90 |
"optimum_version": null,
|
| 91 |
"optimum_commit": null,
|
|
|
|
| 99 |
"load": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
+
"max_ram": 949.84192,
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
|
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
"count": 1,
|
| 111 |
+
"total": 4.361336780999977,
|
| 112 |
+
"mean": 4.361336780999977,
|
| 113 |
"stdev": 0.0,
|
| 114 |
+
"p50": 4.361336780999977,
|
| 115 |
+
"p90": 4.361336780999977,
|
| 116 |
+
"p95": 4.361336780999977,
|
| 117 |
+
"p99": 4.361336780999977,
|
| 118 |
"values": [
|
| 119 |
+
4.361336780999977
|
| 120 |
]
|
| 121 |
},
|
| 122 |
"throughput": null,
|
| 123 |
"energy": {
|
| 124 |
"unit": "kWh",
|
| 125 |
+
"cpu": 4.8265589672220706e-05,
|
| 126 |
+
"ram": 2.0172692175325374e-06,
|
| 127 |
"gpu": 0,
|
| 128 |
+
"total": 5.028285888975324e-05
|
| 129 |
},
|
| 130 |
"efficiency": null
|
| 131 |
},
|
| 132 |
"forward": {
|
| 133 |
"memory": {
|
| 134 |
"unit": "MB",
|
| 135 |
+
"max_ram": 957.444096,
|
| 136 |
"max_global_vram": null,
|
| 137 |
"max_process_vram": null,
|
| 138 |
"max_reserved": null,
|
|
|
|
| 140 |
},
|
| 141 |
"latency": {
|
| 142 |
"unit": "s",
|
| 143 |
+
"count": 33,
|
| 144 |
+
"total": 1.027553044000058,
|
| 145 |
+
"mean": 0.031137971030304787,
|
| 146 |
+
"stdev": 0.0004750050650405779,
|
| 147 |
+
"p50": 0.031023045000040383,
|
| 148 |
+
"p90": 0.03148040680001714,
|
| 149 |
+
"p95": 0.03182168600002342,
|
| 150 |
+
"p99": 0.03280581459999894,
|
| 151 |
"values": [
|
| 152 |
+
0.031207658999960586,
|
| 153 |
+
0.03133103500005063,
|
| 154 |
+
0.031271457000002556,
|
| 155 |
+
0.030570315999966624,
|
| 156 |
+
0.030846166999992874,
|
| 157 |
+
0.031491946000016924,
|
| 158 |
+
0.031023045000040383,
|
| 159 |
+
0.030793760999983988,
|
| 160 |
+
0.03102548999999044,
|
| 161 |
+
0.03097666000002164,
|
| 162 |
+
0.030983902000002672,
|
| 163 |
+
0.030639264000001276,
|
| 164 |
+
0.03086580399997274,
|
| 165 |
+
0.03115542099999402,
|
| 166 |
+
0.0313389219999749,
|
| 167 |
+
0.03138033800001949,
|
| 168 |
+
0.03143425000001798,
|
| 169 |
+
0.031095770000035827,
|
| 170 |
+
0.030914676000008967,
|
| 171 |
+
0.031109906999972736,
|
| 172 |
+
0.03080549300000257,
|
| 173 |
+
0.030764476999991075,
|
| 174 |
+
0.033074732999978096,
|
| 175 |
+
0.03128000399999564,
|
| 176 |
+
0.031005042999993293,
|
| 177 |
+
0.030884229000037067,
|
| 178 |
+
0.03141021499999397,
|
| 179 |
+
0.03223436300004323,
|
| 180 |
+
0.030743357000005744,
|
| 181 |
+
0.030837370999961422,
|
| 182 |
+
0.03154656800001021,
|
| 183 |
+
0.03083262300003753,
|
| 184 |
+
0.030678777999980866
|
| 185 |
]
|
| 186 |
},
|
| 187 |
"throughput": {
|
| 188 |
"unit": "samples/s",
|
| 189 |
+
"value": 32.115130399047445
|
| 190 |
},
|
| 191 |
"energy": {
|
| 192 |
"unit": "kWh",
|
| 193 |
+
"cpu": 1.189278832659922e-06,
|
| 194 |
+
"ram": 4.9702253165629506e-08,
|
| 195 |
"gpu": 0.0,
|
| 196 |
+
"total": 1.2389810858255514e-06
|
| 197 |
},
|
| 198 |
"efficiency": {
|
| 199 |
"unit": "samples/kWh",
|
| 200 |
+
"value": 807114.8231723693
|
| 201 |
}
|
| 202 |
}
|
| 203 |
}
|