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
|
@@ -80,7 +80,7 @@
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.3.1",
|
| 83 |
-
"optimum_benchmark_commit": "
|
| 84 |
"transformers_version": "4.42.3",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.31.0",
|
|
@@ -99,7 +99,7 @@
|
|
| 99 |
"forward": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
-
"max_ram":
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
@@ -107,61 +107,59 @@
|
|
| 107 |
},
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
-
"count":
|
| 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 |
-
0.
|
| 142 |
-
0.
|
| 143 |
-
0.
|
| 144 |
-
0.
|
| 145 |
-
0.
|
| 146 |
-
0.
|
| 147 |
-
0.032253982000042924,
|
| 148 |
-
0.03167103999999199
|
| 149 |
]
|
| 150 |
},
|
| 151 |
"throughput": {
|
| 152 |
"unit": "samples/s",
|
| 153 |
-
"value":
|
| 154 |
},
|
| 155 |
"energy": {
|
| 156 |
"unit": "kWh",
|
| 157 |
-
"cpu": 1.
|
| 158 |
-
"ram": 5.
|
| 159 |
"gpu": 0.0,
|
| 160 |
-
"total": 1.
|
| 161 |
},
|
| 162 |
"efficiency": {
|
| 163 |
"unit": "samples/kWh",
|
| 164 |
-
"value":
|
| 165 |
}
|
| 166 |
}
|
| 167 |
}
|
|
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.3.1",
|
| 83 |
+
"optimum_benchmark_commit": "79990507b694d513bac81e140baff3af23a6bff7",
|
| 84 |
"transformers_version": "4.42.3",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.31.0",
|
|
|
|
| 99 |
"forward": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
+
"max_ram": 936.71424,
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
|
|
| 107 |
},
|
| 108 |
"latency": {
|
| 109 |
"unit": "s",
|
| 110 |
+
"count": 28,
|
| 111 |
+
"total": 1.0240056579999646,
|
| 112 |
+
"mean": 0.03657163064285588,
|
| 113 |
+
"stdev": 0.0017464278394276223,
|
| 114 |
+
"p50": 0.03706138649999957,
|
| 115 |
+
"p90": 0.03772773680000228,
|
| 116 |
+
"p95": 0.03787638874999573,
|
| 117 |
+
"p99": 0.03835098933998211,
|
| 118 |
"values": [
|
| 119 |
+
0.03749122800002169,
|
| 120 |
+
0.03706104600001936,
|
| 121 |
+
0.036987447999990763,
|
| 122 |
+
0.036041463999993084,
|
| 123 |
+
0.03737990100000843,
|
| 124 |
+
0.03744559299997263,
|
| 125 |
+
0.03695636999998442,
|
| 126 |
+
0.036955529000010756,
|
| 127 |
+
0.036253027999975984,
|
| 128 |
+
0.03473598900001207,
|
| 129 |
+
0.03774897900001406,
|
| 130 |
+
0.037718632999997226,
|
| 131 |
+
0.03706172699997978,
|
| 132 |
+
0.03748448499999313,
|
| 133 |
+
0.036989532000006875,
|
| 134 |
+
0.03748380399997586,
|
| 135 |
+
0.03739596000002621,
|
| 136 |
+
0.03850115199998072,
|
| 137 |
+
0.037944993999985854,
|
| 138 |
+
0.03700147500001094,
|
| 139 |
+
0.03601153800002521,
|
| 140 |
+
0.03748902300003465,
|
| 141 |
+
0.03735119699996403,
|
| 142 |
+
0.037039515999993,
|
| 143 |
+
0.037391983000020446,
|
| 144 |
+
0.03339817400001266,
|
| 145 |
+
0.031248012999981256,
|
| 146 |
+
0.03143787699997347
|
|
|
|
|
|
|
| 147 |
]
|
| 148 |
},
|
| 149 |
"throughput": {
|
| 150 |
"unit": "samples/s",
|
| 151 |
+
"value": 27.34359891593584
|
| 152 |
},
|
| 153 |
"energy": {
|
| 154 |
"unit": "kWh",
|
| 155 |
+
"cpu": 1.2068131556013218e-06,
|
| 156 |
+
"ram": 5.043462608010817e-08,
|
| 157 |
"gpu": 0.0,
|
| 158 |
+
"total": 1.25724778168143e-06
|
| 159 |
},
|
| 160 |
"efficiency": {
|
| 161 |
"unit": "samples/kWh",
|
| 162 |
+
"value": 795388.1602102416
|
| 163 |
}
|
| 164 |
}
|
| 165 |
}
|