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": 945.
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
@@ -10,55 +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 |
-
0.04288208999997778,
|
| 45 |
-
0.041791567000018404
|
| 46 |
]
|
| 47 |
},
|
| 48 |
"throughput": {
|
| 49 |
"unit": "samples/s",
|
| 50 |
-
"value":
|
| 51 |
},
|
| 52 |
"energy": {
|
| 53 |
"unit": "kWh",
|
| 54 |
-
"cpu": 1.
|
| 55 |
-
"ram": 6.
|
| 56 |
"gpu": 0.0,
|
| 57 |
-
"total": 1.
|
| 58 |
},
|
| 59 |
"efficiency": {
|
| 60 |
"unit": "samples/kWh",
|
| 61 |
-
"value":
|
| 62 |
}
|
| 63 |
}
|
| 64 |
}
|
|
|
|
| 2 |
"forward": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
+
"max_ram": 945.242112,
|
| 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": 1.0186817999999676,
|
| 15 |
+
"mean": 0.04630371818181671,
|
| 16 |
+
"stdev": 0.001301385918725245,
|
| 17 |
+
"p50": 0.04626180500000032,
|
| 18 |
+
"p90": 0.04760617880001803,
|
| 19 |
+
"p95": 0.04789228735000535,
|
| 20 |
+
"p99": 0.04801512183000654,
|
| 21 |
"values": [
|
| 22 |
+
0.04763096800002131,
|
| 23 |
+
0.046475633000000016,
|
| 24 |
+
0.04686485999999945,
|
| 25 |
+
0.045511796999988974,
|
| 26 |
+
0.04738307599998848,
|
| 27 |
+
0.04613237399999548,
|
| 28 |
+
0.046597160999994,
|
| 29 |
+
0.04716843599999265,
|
| 30 |
+
0.04458217399999853,
|
| 31 |
+
0.048044118000007074,
|
| 32 |
+
0.04613028999997937,
|
| 33 |
+
0.04621324500001833,
|
| 34 |
+
0.046204238000001396,
|
| 35 |
+
0.04790604100000451,
|
| 36 |
+
0.04619291700001327,
|
| 37 |
+
0.04735353099999884,
|
| 38 |
+
0.04614026799998783,
|
| 39 |
+
0.0453522489999898,
|
| 40 |
+
0.04631036499998231,
|
| 41 |
+
0.046942184000016596,
|
| 42 |
+
0.04584969600000477,
|
| 43 |
+
0.04169617899998457
|
|
|
|
|
|
|
| 44 |
]
|
| 45 |
},
|
| 46 |
"throughput": {
|
| 47 |
"unit": "samples/s",
|
| 48 |
+
"value": 21.5965378001263
|
| 49 |
},
|
| 50 |
"energy": {
|
| 51 |
"unit": "kWh",
|
| 52 |
+
"cpu": 1.5399246134309688e-06,
|
| 53 |
+
"ram": 6.435648088348409e-08,
|
| 54 |
"gpu": 0.0,
|
| 55 |
+
"total": 1.604281094314453e-06
|
| 56 |
},
|
| 57 |
"efficiency": {
|
| 58 |
"unit": "samples/kWh",
|
| 59 |
+
"value": 623332.1601457403
|
| 60 |
}
|
| 61 |
}
|
| 62 |
}
|