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": 942.
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
@@ -11,52 +11,52 @@
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"count": 22,
|
| 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 |
]
|
| 45 |
},
|
| 46 |
"throughput": {
|
| 47 |
"unit": "samples/s",
|
| 48 |
-
"value": 21.
|
| 49 |
},
|
| 50 |
"energy": {
|
| 51 |
"unit": "kWh",
|
| 52 |
-
"cpu": 1.
|
| 53 |
-
"ram": 6.
|
| 54 |
"gpu": 0.0,
|
| 55 |
-
"total": 1.
|
| 56 |
},
|
| 57 |
"efficiency": {
|
| 58 |
"unit": "samples/kWh",
|
| 59 |
-
"value":
|
| 60 |
}
|
| 61 |
}
|
| 62 |
}
|
|
|
|
| 2 |
"forward": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
+
"max_ram": 942.436352,
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"count": 22,
|
| 14 |
+
"total": 1.0072202059999427,
|
| 15 |
+
"mean": 0.04578273663636103,
|
| 16 |
+
"stdev": 0.0008903932466271372,
|
| 17 |
+
"p50": 0.04578235799999675,
|
| 18 |
+
"p90": 0.04661739459999126,
|
| 19 |
+
"p95": 0.04693155195000145,
|
| 20 |
+
"p99": 0.047726396840027975,
|
| 21 |
"values": [
|
| 22 |
+
0.04793333000003486,
|
| 23 |
+
0.04568481100000099,
|
| 24 |
+
0.045879904999992505,
|
| 25 |
+
0.044394566999983454,
|
| 26 |
+
0.04694793400000208,
|
| 27 |
+
0.045520935000013196,
|
| 28 |
+
0.04500117700001738,
|
| 29 |
+
0.04621257399998058,
|
| 30 |
+
0.04394843599999376,
|
| 31 |
+
0.046591309000007186,
|
| 32 |
+
0.04662029299998949,
|
| 33 |
+
0.04530858900000112,
|
| 34 |
+
0.0460897450000175,
|
| 35 |
+
0.046404492000021946,
|
| 36 |
+
0.04599424700001009,
|
| 37 |
+
0.04622618899998088,
|
| 38 |
+
0.046380016000000523,
|
| 39 |
+
0.045587168999986716,
|
| 40 |
+
0.04436900899997909,
|
| 41 |
+
0.04561797599995998,
|
| 42 |
+
0.04522837999996909,
|
| 43 |
+
0.045279123000000254
|
| 44 |
]
|
| 45 |
},
|
| 46 |
"throughput": {
|
| 47 |
"unit": "samples/s",
|
| 48 |
+
"value": 21.842294136820815
|
| 49 |
},
|
| 50 |
"energy": {
|
| 51 |
"unit": "kWh",
|
| 52 |
+
"cpu": 1.5607952541775172e-06,
|
| 53 |
+
"ram": 6.522521437343206e-08,
|
| 54 |
"gpu": 0.0,
|
| 55 |
+
"total": 1.6260204685509495e-06
|
| 56 |
},
|
| 57 |
"efficiency": {
|
| 58 |
"unit": "samples/kWh",
|
| 59 |
+
"value": 614998.4082864367
|
| 60 |
}
|
| 61 |
}
|
| 62 |
}
|