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,
|
|
@@ -11,53 +11,53 @@
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"count": 23,
|
| 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 |
]
|
| 46 |
},
|
| 47 |
"throughput": {
|
| 48 |
"unit": "samples/s",
|
| 49 |
-
"value": 22.
|
| 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": 939.606016,
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"count": 23,
|
| 14 |
+
"total": 1.0319591450000303,
|
| 15 |
+
"mean": 0.04486778891304479,
|
| 16 |
+
"stdev": 0.003333516083621961,
|
| 17 |
+
"p50": 0.04680115100001103,
|
| 18 |
+
"p90": 0.04740027880000639,
|
| 19 |
+
"p95": 0.04764767449997862,
|
| 20 |
+
"p99": 0.048204714179994425,
|
| 21 |
"values": [
|
| 22 |
+
0.0483548159999998,
|
| 23 |
+
0.04688099899999543,
|
| 24 |
+
0.046266153000004806,
|
| 25 |
+
0.04767253499997537,
|
| 26 |
+
0.04698070500000995,
|
| 27 |
+
0.046697217000001956,
|
| 28 |
+
0.04580093600000623,
|
| 29 |
+
0.04710798199999999,
|
| 30 |
+
0.04726470399998561,
|
| 31 |
+
0.04680115100001103,
|
| 32 |
+
0.047060944999998355,
|
| 33 |
+
0.0472626800000171,
|
| 34 |
+
0.0469628410000098,
|
| 35 |
+
0.047423930000007886,
|
| 36 |
+
0.04730567400000041,
|
| 37 |
+
0.04398184600000832,
|
| 38 |
+
0.04556606399998486,
|
| 39 |
+
0.03969931500000712,
|
| 40 |
+
0.039403673999999,
|
| 41 |
+
0.03931710300000191,
|
| 42 |
+
0.03927870100000064,
|
| 43 |
+
0.03954476699999532,
|
| 44 |
+
0.03932440700000939
|
| 45 |
]
|
| 46 |
},
|
| 47 |
"throughput": {
|
| 48 |
"unit": "samples/s",
|
| 49 |
+
"value": 22.28770403502682
|
| 50 |
},
|
| 51 |
"energy": {
|
| 52 |
"unit": "kWh",
|
| 53 |
+
"cpu": 1.5475817215748324e-06,
|
| 54 |
+
"ram": 6.46767655452917e-08,
|
| 55 |
"gpu": 0.0,
|
| 56 |
+
"total": 1.6122584871201242e-06
|
| 57 |
},
|
| 58 |
"efficiency": {
|
| 59 |
"unit": "samples/kWh",
|
| 60 |
+
"value": 620247.9366607255
|
| 61 |
}
|
| 62 |
}
|
| 63 |
}
|