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
|
@@ -71,14 +71,14 @@
|
|
| 71 |
"environment": {
|
| 72 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
| 73 |
"cpu_count": 4,
|
| 74 |
-
"cpu_ram_mb": 16757.
|
| 75 |
"system": "Linux",
|
| 76 |
"machine": "x86_64",
|
| 77 |
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
|
| 78 |
"processor": "x86_64",
|
| 79 |
"python_version": "3.10.14",
|
| 80 |
"optimum_benchmark_version": "0.2.0",
|
| 81 |
-
"optimum_benchmark_commit": "
|
| 82 |
"transformers_version": "4.40.2",
|
| 83 |
"transformers_commit": null,
|
| 84 |
"accelerate_version": "0.30.1",
|
|
@@ -97,7 +97,7 @@
|
|
| 97 |
"forward": {
|
| 98 |
"memory": {
|
| 99 |
"unit": "MB",
|
| 100 |
-
"max_ram": 939.
|
| 101 |
"max_global_vram": null,
|
| 102 |
"max_process_vram": null,
|
| 103 |
"max_reserved": null,
|
|
@@ -106,54 +106,54 @@
|
|
| 106 |
"latency": {
|
| 107 |
"unit": "s",
|
| 108 |
"count": 24,
|
| 109 |
-
"total": 1.
|
| 110 |
-
"mean": 0.
|
| 111 |
-
"stdev": 0.
|
| 112 |
-
"p50": 0.
|
| 113 |
-
"p90": 0.
|
| 114 |
-
"p95": 0.
|
| 115 |
-
"p99": 0.
|
| 116 |
"values": [
|
| 117 |
-
0.
|
| 118 |
-
0.
|
| 119 |
-
0.
|
| 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 |
]
|
| 142 |
},
|
| 143 |
"throughput": {
|
| 144 |
"unit": "samples/s",
|
| 145 |
-
"value": 23.
|
| 146 |
},
|
| 147 |
"energy": {
|
| 148 |
"unit": "kWh",
|
| 149 |
-
"cpu": 1.
|
| 150 |
-
"ram": 6.
|
| 151 |
"gpu": 0.0,
|
| 152 |
-
"total": 1.
|
| 153 |
},
|
| 154 |
"efficiency": {
|
| 155 |
"unit": "samples/kWh",
|
| 156 |
-
"value":
|
| 157 |
}
|
| 158 |
}
|
| 159 |
}
|
|
|
|
| 71 |
"environment": {
|
| 72 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
| 73 |
"cpu_count": 4,
|
| 74 |
+
"cpu_ram_mb": 16757.346304,
|
| 75 |
"system": "Linux",
|
| 76 |
"machine": "x86_64",
|
| 77 |
"platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
|
| 78 |
"processor": "x86_64",
|
| 79 |
"python_version": "3.10.14",
|
| 80 |
"optimum_benchmark_version": "0.2.0",
|
| 81 |
+
"optimum_benchmark_commit": "77e62a3eef699bce70248c56d35c703369938b85",
|
| 82 |
"transformers_version": "4.40.2",
|
| 83 |
"transformers_commit": null,
|
| 84 |
"accelerate_version": "0.30.1",
|
|
|
|
| 97 |
"forward": {
|
| 98 |
"memory": {
|
| 99 |
"unit": "MB",
|
| 100 |
+
"max_ram": 939.216896,
|
| 101 |
"max_global_vram": null,
|
| 102 |
"max_process_vram": null,
|
| 103 |
"max_reserved": null,
|
|
|
|
| 106 |
"latency": {
|
| 107 |
"unit": "s",
|
| 108 |
"count": 24,
|
| 109 |
+
"total": 1.0141399070001285,
|
| 110 |
+
"mean": 0.04225582945833869,
|
| 111 |
+
"stdev": 0.0009135129726387775,
|
| 112 |
+
"p50": 0.0420419564999861,
|
| 113 |
+
"p90": 0.042964944400040395,
|
| 114 |
+
"p95": 0.04329109960001176,
|
| 115 |
+
"p99": 0.04527258731999893,
|
| 116 |
"values": [
|
| 117 |
+
0.04245597999999973,
|
| 118 |
+
0.04291501200003722,
|
| 119 |
+
0.04255576500003144,
|
| 120 |
+
0.042231933999971716,
|
| 121 |
+
0.04200119600000107,
|
| 122 |
+
0.0419489189999922,
|
| 123 |
+
0.04261303200001976,
|
| 124 |
+
0.04175353699997686,
|
| 125 |
+
0.04159689499999786,
|
| 126 |
+
0.042283009000016136,
|
| 127 |
+
0.04183869500002402,
|
| 128 |
+
0.04584839599999668,
|
| 129 |
+
0.042986344000041754,
|
| 130 |
+
0.04170609099998046,
|
| 131 |
+
0.04141746200002672,
|
| 132 |
+
0.04143089699999791,
|
| 133 |
+
0.041871124000010695,
|
| 134 |
+
0.04217910599999186,
|
| 135 |
+
0.042082716999971126,
|
| 136 |
+
0.041528578999987076,
|
| 137 |
+
0.04131163700003526,
|
| 138 |
+
0.04169398599998431,
|
| 139 |
+
0.04334488000000647,
|
| 140 |
+
0.042544714000030126
|
| 141 |
]
|
| 142 |
},
|
| 143 |
"throughput": {
|
| 144 |
"unit": "samples/s",
|
| 145 |
+
"value": 23.665373815130774
|
| 146 |
},
|
| 147 |
"energy": {
|
| 148 |
"unit": "kWh",
|
| 149 |
+
"cpu": 1.5796790122985842e-06,
|
| 150 |
+
"ram": 6.601759091952318e-08,
|
| 151 |
"gpu": 0.0,
|
| 152 |
+
"total": 1.6456966032181072e-06
|
| 153 |
},
|
| 154 |
"efficiency": {
|
| 155 |
"unit": "samples/kWh",
|
| 156 |
+
"value": 607645.4177790317
|
| 157 |
}
|
| 158 |
}
|
| 159 |
}
|