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,
|
|
@@ -10,54 +10,53 @@
|
|
| 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 |
-
0.
|
| 44 |
-
0.03814141700001983
|
| 45 |
]
|
| 46 |
},
|
| 47 |
"throughput": {
|
| 48 |
"unit": "samples/s",
|
| 49 |
-
"value":
|
| 50 |
},
|
| 51 |
"energy": {
|
| 52 |
"unit": "kWh",
|
| 53 |
-
"cpu": 1.
|
| 54 |
-
"ram": 6.
|
| 55 |
"gpu": 0.0,
|
| 56 |
-
"total": 1.
|
| 57 |
},
|
| 58 |
"efficiency": {
|
| 59 |
"unit": "samples/kWh",
|
| 60 |
-
"value":
|
| 61 |
}
|
| 62 |
}
|
| 63 |
}
|
|
|
|
| 2 |
"forward": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
+
"max_ram": 941.039616,
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
|
|
| 10 |
},
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
+
"count": 22,
|
| 14 |
+
"total": 1.0359433090000607,
|
| 15 |
+
"mean": 0.04708833222727549,
|
| 16 |
+
"stdev": 0.003186730771292657,
|
| 17 |
+
"p50": 0.04773207200000229,
|
| 18 |
+
"p90": 0.049897197399982926,
|
| 19 |
+
"p95": 0.049999193300004664,
|
| 20 |
+
"p99": 0.05194411247000516,
|
| 21 |
"values": [
|
| 22 |
+
0.04968575499998451,
|
| 23 |
+
0.04751558400002409,
|
| 24 |
+
0.04793182800000295,
|
| 25 |
+
0.048670520000001716,
|
| 26 |
+
0.04774996000000442,
|
| 27 |
+
0.047181273999996165,
|
| 28 |
+
0.04714005799999654,
|
| 29 |
+
0.048065406000006305,
|
| 30 |
+
0.05246001800000499,
|
| 31 |
+
0.04745143600001711,
|
| 32 |
+
0.047389529999975366,
|
| 33 |
+
0.050003325000005816,
|
| 34 |
+
0.0475034720000167,
|
| 35 |
+
0.04992069099998275,
|
| 36 |
+
0.04872668500001964,
|
| 37 |
+
0.04792898200000195,
|
| 38 |
+
0.049013697000020784,
|
| 39 |
+
0.04771418400000016,
|
| 40 |
+
0.04354034200000001,
|
| 41 |
+
0.04049645899999632,
|
| 42 |
+
0.03992759199999796,
|
| 43 |
+
0.03992651100000444
|
|
|
|
| 44 |
]
|
| 45 |
},
|
| 46 |
"throughput": {
|
| 47 |
"unit": "samples/s",
|
| 48 |
+
"value": 21.23668332897038
|
| 49 |
},
|
| 50 |
"energy": {
|
| 51 |
"unit": "kWh",
|
| 52 |
+
"cpu": 1.5814818276299372e-06,
|
| 53 |
+
"ram": 6.609270549961365e-08,
|
| 54 |
"gpu": 0.0,
|
| 55 |
+
"total": 1.6475745331295509e-06
|
| 56 |
},
|
| 57 |
"efficiency": {
|
| 58 |
"unit": "samples/kWh",
|
| 59 |
+
"value": 606952.8145112259
|
| 60 |
}
|
| 61 |
}
|
| 62 |
}
|