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,
|
|
@@ -11,55 +11,55 @@
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"count": 25,
|
| 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 |
-
0.
|
| 44 |
-
0.
|
| 45 |
-
0.
|
| 46 |
-
0.
|
| 47 |
]
|
| 48 |
},
|
| 49 |
"throughput": {
|
| 50 |
"unit": "samples/s",
|
| 51 |
-
"value": 24.
|
| 52 |
},
|
| 53 |
"energy": {
|
| 54 |
"unit": "kWh",
|
| 55 |
-
"cpu": 1.
|
| 56 |
-
"ram": 6.
|
| 57 |
"gpu": 0.0,
|
| 58 |
-
"total": 1.
|
| 59 |
},
|
| 60 |
"efficiency": {
|
| 61 |
"unit": "samples/kWh",
|
| 62 |
-
"value":
|
| 63 |
}
|
| 64 |
}
|
| 65 |
}
|
|
|
|
| 2 |
"forward": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
+
"max_ram": 939.835392,
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"count": 25,
|
| 14 |
+
"total": 1.0143559390000405,
|
| 15 |
+
"mean": 0.04057423756000162,
|
| 16 |
+
"stdev": 0.0009884393138469784,
|
| 17 |
+
"p50": 0.04038991099997702,
|
| 18 |
+
"p90": 0.042005376199995226,
|
| 19 |
+
"p95": 0.042404397400014206,
|
| 20 |
+
"p99": 0.04291444867998279,
|
| 21 |
"values": [
|
| 22 |
+
0.042446712000014486,
|
| 23 |
+
0.04223513900001308,
|
| 24 |
+
0.040107686999988346,
|
| 25 |
+
0.040351901000008183,
|
| 26 |
+
0.04012147200000982,
|
| 27 |
+
0.040354516000036256,
|
| 28 |
+
0.040741104000005635,
|
| 29 |
+
0.04090935600004286,
|
| 30 |
+
0.04038991099997702,
|
| 31 |
+
0.04058186800000385,
|
| 32 |
+
0.04079367099996034,
|
| 33 |
+
0.04023655600002485,
|
| 34 |
+
0.040704656000002615,
|
| 35 |
+
0.04166073199996845,
|
| 36 |
+
0.041299329000025864,
|
| 37 |
+
0.04091691999997238,
|
| 38 |
+
0.04098874299995714,
|
| 39 |
+
0.040017569000042386,
|
| 40 |
+
0.0399713639999959,
|
| 41 |
+
0.04306215499997279,
|
| 42 |
+
0.03946148599999333,
|
| 43 |
+
0.03891260699998611,
|
| 44 |
+
0.03939847000003738,
|
| 45 |
+
0.03922455700001137,
|
| 46 |
+
0.039467457999990074
|
| 47 |
]
|
| 48 |
},
|
| 49 |
"throughput": {
|
| 50 |
"unit": "samples/s",
|
| 51 |
+
"value": 24.64618092998517
|
| 52 |
},
|
| 53 |
"energy": {
|
| 54 |
"unit": "kWh",
|
| 55 |
+
"cpu": 1.579658243391249e-06,
|
| 56 |
+
"ram": 6.601622786283769e-08,
|
| 57 |
"gpu": 0.0,
|
| 58 |
+
"total": 1.6456744712540868e-06
|
| 59 |
},
|
| 60 |
"efficiency": {
|
| 61 |
"unit": "samples/kWh",
|
| 62 |
+
"value": 607653.5897393788
|
| 63 |
}
|
| 64 |
}
|
| 65 |
}
|