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 |
"load": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
-
"max_ram":
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
@@ -11,15 +11,15 @@
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"values": [
|
| 14 |
-
1.
|
| 15 |
],
|
| 16 |
"count": 1,
|
| 17 |
-
"total": 1.
|
| 18 |
-
"mean": 1.
|
| 19 |
-
"p50": 1.
|
| 20 |
-
"p90": 1.
|
| 21 |
-
"p95": 1.
|
| 22 |
-
"p99": 1.
|
| 23 |
"stdev": 0,
|
| 24 |
"stdev_": 0
|
| 25 |
},
|
|
@@ -30,7 +30,7 @@
|
|
| 30 |
"forward": {
|
| 31 |
"memory": {
|
| 32 |
"unit": "MB",
|
| 33 |
-
"max_ram":
|
| 34 |
"max_global_vram": null,
|
| 35 |
"max_process_vram": null,
|
| 36 |
"max_reserved": null,
|
|
@@ -39,56 +39,56 @@
|
|
| 39 |
"latency": {
|
| 40 |
"unit": "s",
|
| 41 |
"values": [
|
| 42 |
-
0.
|
| 43 |
-
0.
|
| 44 |
-
0.
|
| 45 |
-
0.
|
| 46 |
-
0.
|
| 47 |
-
0.
|
| 48 |
-
0.
|
| 49 |
-
0.
|
| 50 |
-
0.
|
| 51 |
-
0.
|
| 52 |
-
0.
|
| 53 |
-
0.
|
| 54 |
-
0.
|
| 55 |
-
0.
|
| 56 |
-
0.
|
| 57 |
-
0.
|
| 58 |
-
0.
|
| 59 |
-
0.
|
| 60 |
-
0.
|
| 61 |
-
0.
|
| 62 |
-
0.
|
| 63 |
-
0.
|
| 64 |
-
0.
|
| 65 |
-
0.
|
| 66 |
-
0.
|
| 67 |
],
|
| 68 |
"count": 25,
|
| 69 |
-
"total": 1.
|
| 70 |
-
"mean": 0.
|
| 71 |
-
"p50": 0.
|
| 72 |
-
"p90": 0.
|
| 73 |
-
"p95": 0.
|
| 74 |
-
"p99": 0.
|
| 75 |
-
"stdev": 0.
|
| 76 |
-
"stdev_":
|
| 77 |
},
|
| 78 |
"throughput": {
|
| 79 |
"unit": "samples/s",
|
| 80 |
-
"value": 24.
|
| 81 |
},
|
| 82 |
"energy": {
|
| 83 |
"unit": "kWh",
|
| 84 |
-
"cpu": 1.
|
| 85 |
-
"ram": 6.
|
| 86 |
"gpu": 0.0,
|
| 87 |
-
"total": 1.
|
| 88 |
},
|
| 89 |
"efficiency": {
|
| 90 |
"unit": "samples/kWh",
|
| 91 |
-
"value":
|
| 92 |
}
|
| 93 |
}
|
| 94 |
}
|
|
|
|
| 2 |
"load": {
|
| 3 |
"memory": {
|
| 4 |
"unit": "MB",
|
| 5 |
+
"max_ram": 945.8688,
|
| 6 |
"max_global_vram": null,
|
| 7 |
"max_process_vram": null,
|
| 8 |
"max_reserved": null,
|
|
|
|
| 11 |
"latency": {
|
| 12 |
"unit": "s",
|
| 13 |
"values": [
|
| 14 |
+
1.2233306219999918
|
| 15 |
],
|
| 16 |
"count": 1,
|
| 17 |
+
"total": 1.2233306219999918,
|
| 18 |
+
"mean": 1.2233306219999918,
|
| 19 |
+
"p50": 1.2233306219999918,
|
| 20 |
+
"p90": 1.2233306219999918,
|
| 21 |
+
"p95": 1.2233306219999918,
|
| 22 |
+
"p99": 1.2233306219999918,
|
| 23 |
"stdev": 0,
|
| 24 |
"stdev_": 0
|
| 25 |
},
|
|
|
|
| 30 |
"forward": {
|
| 31 |
"memory": {
|
| 32 |
"unit": "MB",
|
| 33 |
+
"max_ram": 957.66528,
|
| 34 |
"max_global_vram": null,
|
| 35 |
"max_process_vram": null,
|
| 36 |
"max_reserved": null,
|
|
|
|
| 39 |
"latency": {
|
| 40 |
"unit": "s",
|
| 41 |
"values": [
|
| 42 |
+
0.04353055299998232,
|
| 43 |
+
0.04215821399998276,
|
| 44 |
+
0.04230935700002192,
|
| 45 |
+
0.042464057000017874,
|
| 46 |
+
0.04258696700003384,
|
| 47 |
+
0.04210331199999473,
|
| 48 |
+
0.042032720000008794,
|
| 49 |
+
0.04242894200001501,
|
| 50 |
+
0.042356836999999814,
|
| 51 |
+
0.04253640199999609,
|
| 52 |
+
0.04207029000002649,
|
| 53 |
+
0.04202420399997209,
|
| 54 |
+
0.04145655199999965,
|
| 55 |
+
0.04323494999999866,
|
| 56 |
+
0.042499382999949376,
|
| 57 |
+
0.04230139300000246,
|
| 58 |
+
0.04244540199999847,
|
| 59 |
+
0.04253307699997322,
|
| 60 |
+
0.039063102999989496,
|
| 61 |
+
0.03777855900000304,
|
| 62 |
+
0.037668392000000495,
|
| 63 |
+
0.03791604600002074,
|
| 64 |
+
0.037636022000015146,
|
| 65 |
+
0.038129576000017096,
|
| 66 |
+
0.03783644700001787
|
| 67 |
],
|
| 68 |
"count": 25,
|
| 69 |
+
"total": 1.0291007570000374,
|
| 70 |
+
"mean": 0.0411640302800015,
|
| 71 |
+
"p50": 0.04215821399998276,
|
| 72 |
+
"p90": 0.04256674100001874,
|
| 73 |
+
"p95": 0.043105353400005694,
|
| 74 |
+
"p99": 0.04345960827998624,
|
| 75 |
+
"stdev": 0.002020482124224131,
|
| 76 |
+
"stdev_": 4.908368083690122
|
| 77 |
},
|
| 78 |
"throughput": {
|
| 79 |
"unit": "samples/s",
|
| 80 |
+
"value": 24.293053746144597
|
| 81 |
},
|
| 82 |
"energy": {
|
| 83 |
"unit": "kWh",
|
| 84 |
+
"cpu": 1.4710125903292007e-06,
|
| 85 |
+
"ram": 6.151115378017836e-08,
|
| 86 |
"gpu": 0.0,
|
| 87 |
+
"total": 1.532523744109379e-06
|
| 88 |
},
|
| 89 |
"efficiency": {
|
| 90 |
"unit": "samples/kWh",
|
| 91 |
+
"value": 652518.4381930387
|
| 92 |
}
|
| 93 |
}
|
| 94 |
}
|