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": "0.2.1",
|
| 83 |
-
"optimum_benchmark_commit": "
|
| 84 |
"transformers_version": "4.41.0",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.30.1",
|
|
@@ -99,7 +99,7 @@
|
|
| 99 |
"forward": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
-
"max_ram": 936.
|
| 103 |
"max_global_vram": null,
|
| 104 |
"max_process_vram": null,
|
| 105 |
"max_reserved": null,
|
|
@@ -107,63 +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 |
-
0.030588193999960822,
|
| 148 |
-
0.030567765999990115,
|
| 149 |
-
0.03037143799997466,
|
| 150 |
-
0.030501723000043057
|
| 151 |
]
|
| 152 |
},
|
| 153 |
"throughput": {
|
| 154 |
"unit": "samples/s",
|
| 155 |
-
"value":
|
| 156 |
},
|
| 157 |
"energy": {
|
| 158 |
"unit": "kWh",
|
| 159 |
-
"cpu": 1.
|
| 160 |
-
"ram":
|
| 161 |
"gpu": 0.0,
|
| 162 |
-
"total": 1.
|
| 163 |
},
|
| 164 |
"efficiency": {
|
| 165 |
"unit": "samples/kWh",
|
| 166 |
-
"value":
|
| 167 |
}
|
| 168 |
}
|
| 169 |
}
|
|
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.14",
|
| 82 |
"optimum_benchmark_version": "0.2.1",
|
| 83 |
+
"optimum_benchmark_commit": "1981150adc21fc49153cb832dbc6f0ecca02bc2a",
|
| 84 |
"transformers_version": "4.41.0",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "0.30.1",
|
|
|
|
| 99 |
"forward": {
|
| 100 |
"memory": {
|
| 101 |
"unit": "MB",
|
| 102 |
+
"max_ram": 936.583168,
|
| 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": 1.006206359000032,
|
| 112 |
+
"mean": 0.03593594139285829,
|
| 113 |
+
"stdev": 0.0027339006179416207,
|
| 114 |
+
"p50": 0.036878963500001305,
|
| 115 |
+
"p90": 0.03813769069999466,
|
| 116 |
+
"p95": 0.0386071727499953,
|
| 117 |
+
"p99": 0.04059631486999393,
|
| 118 |
"values": [
|
| 119 |
+
0.03882152500000302,
|
| 120 |
+
0.03810709100000054,
|
| 121 |
+
0.03788190299999883,
|
| 122 |
+
0.03820908999998096,
|
| 123 |
+
0.03756845199998793,
|
| 124 |
+
0.03741119000000026,
|
| 125 |
+
0.04125274399999057,
|
| 126 |
+
0.037611601999998356,
|
| 127 |
+
0.037845746000016334,
|
| 128 |
+
0.03776904400001513,
|
| 129 |
+
0.03696284899999114,
|
| 130 |
+
0.037455151000017395,
|
| 131 |
+
0.03673498700001687,
|
| 132 |
+
0.036913617999999815,
|
| 133 |
+
0.03682912099998248,
|
| 134 |
+
0.0368021510000176,
|
| 135 |
+
0.036844309000002795,
|
| 136 |
+
0.03749918299999422,
|
| 137 |
+
0.0360421310000163,
|
| 138 |
+
0.036560089999994716,
|
| 139 |
+
0.03226824399999373,
|
| 140 |
+
0.03101891700001147,
|
| 141 |
+
0.03101793500002259,
|
| 142 |
+
0.03151419599998917,
|
| 143 |
+
0.03185249300000237,
|
| 144 |
+
0.0325134079999998,
|
| 145 |
+
0.03269279099998812,
|
| 146 |
+
0.03220639799999958
|
|
|
|
|
|
|
|
|
|
|
|
|
| 147 |
]
|
| 148 |
},
|
| 149 |
"throughput": {
|
| 150 |
"unit": "samples/s",
|
| 151 |
+
"value": 27.82729382452562
|
| 152 |
},
|
| 153 |
"energy": {
|
| 154 |
"unit": "kWh",
|
| 155 |
+
"cpu": 1.2283142656087877e-06,
|
| 156 |
+
"ram": 5.1332085359039316e-08,
|
| 157 |
"gpu": 0.0,
|
| 158 |
+
"total": 1.279646350967827e-06
|
| 159 |
},
|
| 160 |
"efficiency": {
|
| 161 |
"unit": "samples/kWh",
|
| 162 |
+
"value": 781465.9098927419
|
| 163 |
}
|
| 164 |
}
|
| 165 |
}
|