Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub
Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"forward": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
-
"max_ram":
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
@@ -10,52 +10,55 @@
|
|
| 10 |
},
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
-
"count":
|
| 14 |
-
"total": 1.
|
| 15 |
-
"mean": 0.
|
| 16 |
-
"stdev": 0.
|
| 17 |
-
"p50": 0.
|
| 18 |
-
"p90": 0.
|
| 19 |
-
"p95": 0.
|
| 20 |
-
"p99": 0.
|
| 21 |
"values": [
|
| 22 |
-
0.
|
| 23 |
-
0.
|
| 24 |
-
0.
|
| 25 |
-
0.
|
| 26 |
-
0.
|
| 27 |
-
0.
|
| 28 |
-
0.
|
| 29 |
-
0.
|
| 30 |
-
0.
|
| 31 |
-
0.
|
| 32 |
-
0.
|
| 33 |
-
0.
|
| 34 |
-
0.
|
| 35 |
-
0.
|
| 36 |
-
0.
|
| 37 |
-
0.
|
| 38 |
-
0.
|
| 39 |
-
0.
|
| 40 |
-
0.
|
| 41 |
-
0.
|
| 42 |
-
0.
|
|
|
|
|
|
|
|
|
|
| 43 |
]
|
| 44 |
},
|
| 45 |
"throughput": {
|
| 46 |
"unit": "samples/s",
|
| 47 |
-
"value":
|
| 48 |
},
|
| 49 |
"energy": {
|
| 50 |
"unit": "kWh",
|
| 51 |
-
"cpu": 1.
|
| 52 |
-
"ram": 6.
|
| 53 |
"gpu": 0.0,
|
| 54 |
-
"total": 1.
|
| 55 |
},
|
| 56 |
"efficiency": {
|
| 57 |
"unit": "samples/kWh",
|
| 58 |
-
"value":
|
| 59 |
}
|
| 60 |
}
|
| 61 |
}
|
|
|
|
| 2 |
"forward": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
+
"max_ram": 945.958912,
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
|
|
| 10 |
},
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
+
"count": 24,
|
| 14 |
+
"total": 1.0163190379999492,
|
| 15 |
+
"mean": 0.042346626583331215,
|
| 16 |
+
"stdev": 0.0010597026475171844,
|
| 17 |
+
"p50": 0.04198648649997949,
|
| 18 |
+
"p90": 0.043153495399997154,
|
| 19 |
+
"p95": 0.044029003949970044,
|
| 20 |
+
"p99": 0.04598615034998147,
|
| 21 |
"values": [
|
| 22 |
+
0.04326981200000546,
|
| 23 |
+
0.04193209800001796,
|
| 24 |
+
0.042044556999996985,
|
| 25 |
+
0.04176438299998608,
|
| 26 |
+
0.04197457999998733,
|
| 27 |
+
0.04225703500003419,
|
| 28 |
+
0.042523861999995916,
|
| 29 |
+
0.04199839299997166,
|
| 30 |
+
0.042147710999984156,
|
| 31 |
+
0.04167466900003092,
|
| 32 |
+
0.04194267799999807,
|
| 33 |
+
0.04229581499998858,
|
| 34 |
+
0.04197099100002788,
|
| 35 |
+
0.041422097999998186,
|
| 36 |
+
0.041501436000032754,
|
| 37 |
+
0.04252106699999558,
|
| 38 |
+
0.04653073399998675,
|
| 39 |
+
0.042607959999998,
|
| 40 |
+
0.041911911999989115,
|
| 41 |
+
0.0416770530000008,
|
| 42 |
+
0.041513557999962813,
|
| 43 |
+
0.0441629789999638,
|
| 44 |
+
0.04288208999997778,
|
| 45 |
+
0.041791567000018404
|
| 46 |
]
|
| 47 |
},
|
| 48 |
"throughput": {
|
| 49 |
"unit": "samples/s",
|
| 50 |
+
"value": 23.614631924272977
|
| 51 |
},
|
| 52 |
"energy": {
|
| 53 |
"unit": "kWh",
|
| 54 |
+
"cpu": 1.6500012190253648e-06,
|
| 55 |
+
"ram": 6.895657958750689e-08,
|
| 56 |
"gpu": 0.0,
|
| 57 |
+
"total": 1.7189577986128717e-06
|
| 58 |
},
|
| 59 |
"efficiency": {
|
| 60 |
"unit": "samples/kWh",
|
| 61 |
+
"value": 581747.8479151488
|
| 62 |
}
|
| 63 |
}
|
| 64 |
}
|