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
|
@@ -81,7 +81,7 @@
|
|
| 81 |
"processor": "x86_64",
|
| 82 |
"python_version": "3.10.14",
|
| 83 |
"optimum_benchmark_version": "0.3.1",
|
| 84 |
-
"optimum_benchmark_commit": "
|
| 85 |
"transformers_version": "4.42.4",
|
| 86 |
"transformers_commit": null,
|
| 87 |
"accelerate_version": "0.32.1",
|
|
@@ -100,7 +100,7 @@
|
|
| 100 |
"forward": {
|
| 101 |
"memory": {
|
| 102 |
"unit": "MB",
|
| 103 |
-
"max_ram": 942.
|
| 104 |
"max_global_vram": null,
|
| 105 |
"max_process_vram": null,
|
| 106 |
"max_reserved": null,
|
|
@@ -108,63 +108,58 @@
|
|
| 108 |
},
|
| 109 |
"latency": {
|
| 110 |
"unit": "s",
|
| 111 |
-
"count":
|
| 112 |
-
"total": 1.
|
| 113 |
-
"mean": 0.
|
| 114 |
-
"stdev": 0.
|
| 115 |
-
"p50": 0.
|
| 116 |
-
"p90": 0.
|
| 117 |
-
"p95": 0.
|
| 118 |
-
"p99": 0.
|
| 119 |
"values": [
|
| 120 |
-
0.
|
| 121 |
-
0.
|
| 122 |
-
0.
|
| 123 |
-
0.
|
| 124 |
-
0.
|
| 125 |
-
0.
|
| 126 |
-
0.
|
| 127 |
-
0.
|
| 128 |
-
0.
|
| 129 |
-
0.
|
| 130 |
-
0.
|
| 131 |
-
0.
|
| 132 |
-
0.
|
| 133 |
-
0.
|
| 134 |
-
0.
|
| 135 |
-
0.
|
| 136 |
-
0.
|
| 137 |
-
0.
|
| 138 |
-
0.
|
| 139 |
-
0.
|
| 140 |
-
0.
|
| 141 |
-
0.
|
| 142 |
-
0.
|
| 143 |
-
0.
|
| 144 |
-
0.
|
| 145 |
-
0.
|
| 146 |
-
0.
|
| 147 |
-
0.03328096600000663,
|
| 148 |
-
0.030977389999975458,
|
| 149 |
-
0.030488679000029606,
|
| 150 |
-
0.02992750199996408,
|
| 151 |
-
0.030118969000000106
|
| 152 |
]
|
| 153 |
},
|
| 154 |
"throughput": {
|
| 155 |
"unit": "samples/s",
|
| 156 |
-
"value":
|
| 157 |
},
|
| 158 |
"energy": {
|
| 159 |
"unit": "kWh",
|
| 160 |
-
"cpu": 1.
|
| 161 |
-
"ram":
|
| 162 |
"gpu": 0.0,
|
| 163 |
-
"total": 1.
|
| 164 |
},
|
| 165 |
"efficiency": {
|
| 166 |
"unit": "samples/kWh",
|
| 167 |
-
"value":
|
| 168 |
}
|
| 169 |
}
|
| 170 |
}
|
|
|
|
| 81 |
"processor": "x86_64",
|
| 82 |
"python_version": "3.10.14",
|
| 83 |
"optimum_benchmark_version": "0.3.1",
|
| 84 |
+
"optimum_benchmark_commit": "4f83ff1670dec8f273c8beb893e9243ca1209582",
|
| 85 |
"transformers_version": "4.42.4",
|
| 86 |
"transformers_commit": null,
|
| 87 |
"accelerate_version": "0.32.1",
|
|
|
|
| 100 |
"forward": {
|
| 101 |
"memory": {
|
| 102 |
"unit": "MB",
|
| 103 |
+
"max_ram": 942.46912,
|
| 104 |
"max_global_vram": null,
|
| 105 |
"max_process_vram": null,
|
| 106 |
"max_reserved": null,
|
|
|
|
| 108 |
},
|
| 109 |
"latency": {
|
| 110 |
"unit": "s",
|
| 111 |
+
"count": 27,
|
| 112 |
+
"total": 1.0152888579999058,
|
| 113 |
+
"mean": 0.03760329103703355,
|
| 114 |
+
"stdev": 0.0006997148158070969,
|
| 115 |
+
"p50": 0.03749349299999949,
|
| 116 |
+
"p90": 0.03824376379999421,
|
| 117 |
+
"p95": 0.03859012710000229,
|
| 118 |
+
"p99": 0.03926218007997136,
|
| 119 |
"values": [
|
| 120 |
+
0.039451808999956484,
|
| 121 |
+
0.03800046999998585,
|
| 122 |
+
0.0374267189999955,
|
| 123 |
+
0.03802626800001008,
|
| 124 |
+
0.03632131400001981,
|
| 125 |
+
0.038722467000013694,
|
| 126 |
+
0.03780195899997807,
|
| 127 |
+
0.037715387000048395,
|
| 128 |
+
0.037643973999990976,
|
| 129 |
+
0.03809837299996843,
|
| 130 |
+
0.035663075999991634,
|
| 131 |
+
0.03721623600000612,
|
| 132 |
+
0.038281333999975686,
|
| 133 |
+
0.03740945599997758,
|
| 134 |
+
0.03732248400001481,
|
| 135 |
+
0.0379812439999796,
|
| 136 |
+
0.03722268800004258,
|
| 137 |
+
0.03749349299999949,
|
| 138 |
+
0.037069050000013704,
|
| 139 |
+
0.03718989599997258,
|
| 140 |
+
0.037773354999956155,
|
| 141 |
+
0.037454459999992196,
|
| 142 |
+
0.03729002299996864,
|
| 143 |
+
0.03729687600002762,
|
| 144 |
+
0.037168065000003025,
|
| 145 |
+
0.03802966500001048,
|
| 146 |
+
0.03821871700000656
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 147 |
]
|
| 148 |
},
|
| 149 |
"throughput": {
|
| 150 |
"unit": "samples/s",
|
| 151 |
+
"value": 26.593417023397006
|
| 152 |
},
|
| 153 |
"energy": {
|
| 154 |
"unit": "kWh",
|
| 155 |
+
"cpu": 1.265701299072594e-06,
|
| 156 |
+
"ram": 5.2895310886301114e-08,
|
| 157 |
"gpu": 0.0,
|
| 158 |
+
"total": 1.3185966099588951e-06
|
| 159 |
},
|
| 160 |
"efficiency": {
|
| 161 |
"unit": "samples/kWh",
|
| 162 |
+
"value": 758382.0498607025
|
| 163 |
}
|
| 164 |
}
|
| 165 |
}
|