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
|
@@ -73,14 +73,14 @@
|
|
| 73 |
"environment": {
|
| 74 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
| 75 |
"cpu_count": 4,
|
| 76 |
-
"cpu_ram_mb": 16757.
|
| 77 |
"system": "Linux",
|
| 78 |
"machine": "x86_64",
|
| 79 |
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.2.0",
|
| 83 |
-
"optimum_benchmark_commit": "
|
| 84 |
"transformers_version": "4.40.2",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.30.1",
|
|
@@ -99,7 +99,7 @@
|
|
| 99 |
"forward": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
-
"max_ram": 942.
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
@@ -108,52 +108,52 @@
|
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
"count": 22,
|
| 111 |
-
"total": 1.
|
| 112 |
-
"mean": 0.
|
| 113 |
-
"stdev": 0.
|
| 114 |
-
"p50": 0.
|
| 115 |
-
"p90": 0.
|
| 116 |
-
"p95": 0.
|
| 117 |
-
"p99": 0.
|
| 118 |
"values": [
|
| 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": 21.
|
| 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 |
}
|
|
|
|
| 73 |
"environment": {
|
| 74 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
| 75 |
"cpu_count": 4,
|
| 76 |
+
"cpu_ram_mb": 16757.342208,
|
| 77 |
"system": "Linux",
|
| 78 |
"machine": "x86_64",
|
| 79 |
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.2.0",
|
| 83 |
+
"optimum_benchmark_commit": "40cdab56663479e2e7275c1c80c2a04578a9eafc",
|
| 84 |
"transformers_version": "4.40.2",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.30.1",
|
|
|
|
| 99 |
"forward": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
+
"max_ram": 942.645248,
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
|
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
"count": 22,
|
| 111 |
+
"total": 1.0402117559999624,
|
| 112 |
+
"mean": 0.047282352545452835,
|
| 113 |
+
"stdev": 0.0010258064772428134,
|
| 114 |
+
"p50": 0.04723089250003909,
|
| 115 |
+
"p90": 0.048386575499949916,
|
| 116 |
+
"p95": 0.04904561480002201,
|
| 117 |
+
"p99": 0.049575926310030806,
|
| 118 |
"values": [
|
| 119 |
+
0.04907902500002592,
|
| 120 |
+
0.04707310199995618,
|
| 121 |
+
0.04774641500000598,
|
| 122 |
+
0.04626092799998105,
|
| 123 |
+
0.04816836599997032,
|
| 124 |
+
0.04674569700000575,
|
| 125 |
+
0.046567211999956726,
|
| 126 |
+
0.047195882000039546,
|
| 127 |
+
0.04538174800001116,
|
| 128 |
+
0.048410820999947646,
|
| 129 |
+
0.047265903000038634,
|
| 130 |
+
0.048096641000029194,
|
| 131 |
+
0.04753637100003516,
|
| 132 |
+
0.04970801400003211,
|
| 133 |
+
0.0473437899999567,
|
| 134 |
+
0.047854336999989755,
|
| 135 |
+
0.047710005999988425,
|
| 136 |
+
0.04709540300001436,
|
| 137 |
+
0.046281064999959654,
|
| 138 |
+
0.04646490099997891,
|
| 139 |
+
0.046649837000018124,
|
| 140 |
+
0.04557629200002111
|
| 141 |
]
|
| 142 |
},
|
| 143 |
"throughput": {
|
| 144 |
"unit": "samples/s",
|
| 145 |
+
"value": 21.14953986349756
|
| 146 |
},
|
| 147 |
"energy": {
|
| 148 |
"unit": "kWh",
|
| 149 |
+
"cpu": 1.5565613640679256e-06,
|
| 150 |
+
"ram": 6.505144895809281e-08,
|
| 151 |
"gpu": 0.0,
|
| 152 |
+
"total": 1.6216128130260184e-06
|
| 153 |
},
|
| 154 |
"efficiency": {
|
| 155 |
"unit": "samples/kWh",
|
| 156 |
+
"value": 616670.0163980237
|
| 157 |
}
|
| 158 |
}
|
| 159 |
}
|