Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json
CHANGED
|
@@ -80,7 +80,7 @@
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.15",
|
| 82 |
"optimum_benchmark_version": "0.4.0",
|
| 83 |
-
"optimum_benchmark_commit": "
|
| 84 |
"transformers_version": "4.44.2",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.34.2",
|
|
@@ -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": 1.
|
| 127 |
"gpu": 0,
|
| 128 |
-
"total": 4.
|
| 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,
|
|
@@ -140,55 +140,53 @@
|
|
| 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 |
-
0.041110698000011325,
|
| 175 |
-
0.04074875100002373
|
| 176 |
]
|
| 177 |
},
|
| 178 |
"throughput": {
|
| 179 |
"unit": "samples/s",
|
| 180 |
-
"value":
|
| 181 |
},
|
| 182 |
"energy": {
|
| 183 |
"unit": "kWh",
|
| 184 |
-
"cpu": 1.
|
| 185 |
-
"ram": 6.
|
| 186 |
"gpu": 0.0,
|
| 187 |
-
"total": 1.
|
| 188 |
},
|
| 189 |
"efficiency": {
|
| 190 |
"unit": "samples/kWh",
|
| 191 |
-
"value":
|
| 192 |
}
|
| 193 |
}
|
| 194 |
}
|
|
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.15",
|
| 82 |
"optimum_benchmark_version": "0.4.0",
|
| 83 |
+
"optimum_benchmark_commit": "4f377554af3ee54c159bc072e03cb9d8efa78a7b",
|
| 84 |
"transformers_version": "4.44.2",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.34.2",
|
|
|
|
| 99 |
"load": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
+
"max_ram": 939.773952,
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
|
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
"count": 1,
|
| 111 |
+
"total": 4.3221616179999955,
|
| 112 |
+
"mean": 4.3221616179999955,
|
| 113 |
"stdev": 0.0,
|
| 114 |
+
"p50": 4.3221616179999955,
|
| 115 |
+
"p90": 4.3221616179999955,
|
| 116 |
+
"p95": 4.3221616179999955,
|
| 117 |
+
"p99": 4.3221616179999955,
|
| 118 |
"values": [
|
| 119 |
+
4.3221616179999955
|
| 120 |
]
|
| 121 |
},
|
| 122 |
"throughput": null,
|
| 123 |
"energy": {
|
| 124 |
"unit": "kWh",
|
| 125 |
+
"cpu": 4.776755371111108e-05,
|
| 126 |
+
"ram": 1.997582398689025e-06,
|
| 127 |
"gpu": 0,
|
| 128 |
+
"total": 4.97651361098001e-05
|
| 129 |
},
|
| 130 |
"efficiency": null
|
| 131 |
},
|
| 132 |
"forward": {
|
| 133 |
"memory": {
|
| 134 |
"unit": "MB",
|
| 135 |
+
"max_ram": 950.652928,
|
| 136 |
"max_global_vram": null,
|
| 137 |
"max_process_vram": null,
|
| 138 |
"max_reserved": null,
|
|
|
|
| 140 |
},
|
| 141 |
"latency": {
|
| 142 |
"unit": "s",
|
| 143 |
+
"count": 22,
|
| 144 |
+
"total": 1.0137418969999885,
|
| 145 |
+
"mean": 0.046079177136363114,
|
| 146 |
+
"stdev": 0.001580913728625745,
|
| 147 |
+
"p50": 0.04608556950000775,
|
| 148 |
+
"p90": 0.047704170600030696,
|
| 149 |
+
"p95": 0.04783599014996298,
|
| 150 |
+
"p99": 0.048427126999990265,
|
| 151 |
"values": [
|
| 152 |
+
0.04568807400005426,
|
| 153 |
+
0.04600722800000767,
|
| 154 |
+
0.0444838609999465,
|
| 155 |
+
0.04710570499997857,
|
| 156 |
+
0.04567808500002002,
|
| 157 |
+
0.04540702099995997,
|
| 158 |
+
0.04585825100002694,
|
| 159 |
+
0.0440932230000044,
|
| 160 |
+
0.047514014999990195,
|
| 161 |
+
0.04616391100000783,
|
| 162 |
+
0.04627089000001661,
|
| 163 |
+
0.04529934000004232,
|
| 164 |
+
0.04784181599995918,
|
| 165 |
+
0.04600451300001396,
|
| 166 |
+
0.047509466999997585,
|
| 167 |
+
0.046414497000000665,
|
| 168 |
+
0.04656998599995177,
|
| 169 |
+
0.04858271599999853,
|
| 170 |
+
0.04772529900003519,
|
| 171 |
+
0.04743906599998127,
|
| 172 |
+
0.04517900600001212,
|
| 173 |
+
0.04090592699998297
|
|
|
|
|
|
|
| 174 |
]
|
| 175 |
},
|
| 176 |
"throughput": {
|
| 177 |
"unit": "samples/s",
|
| 178 |
+
"value": 21.70177642366916
|
| 179 |
},
|
| 180 |
"energy": {
|
| 181 |
"unit": "kWh",
|
| 182 |
+
"cpu": 1.6432450189814582e-06,
|
| 183 |
+
"ram": 6.871365856019446e-08,
|
| 184 |
"gpu": 0.0,
|
| 185 |
+
"total": 1.7119586775416526e-06
|
| 186 |
},
|
| 187 |
"efficiency": {
|
| 188 |
"unit": "samples/kWh",
|
| 189 |
+
"value": 584126.2485587475
|
| 190 |
}
|
| 191 |
}
|
| 192 |
}
|