Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub
Browse files
cpu_inference_transformers_text-classification_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,
|
@@ -10,58 +10,62 @@
|
|
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.
|
45 |
-
0.
|
46 |
-
0.
|
47 |
-
0.
|
48 |
-
0.
|
|
|
|
|
|
|
|
|
49 |
]
|
50 |
},
|
51 |
"throughput": {
|
52 |
"unit": "samples/s",
|
53 |
-
"value":
|
54 |
},
|
55 |
"energy": {
|
56 |
"unit": "kWh",
|
57 |
-
"cpu": 1.
|
58 |
-
"ram": 5.
|
59 |
"gpu": 0.0,
|
60 |
-
"total": 1.
|
61 |
},
|
62 |
"efficiency": {
|
63 |
"unit": "samples/kWh",
|
64 |
-
"value":
|
65 |
}
|
66 |
}
|
67 |
}
|
|
|
2 |
"forward": {
|
3 |
"memory": {
|
4 |
"unit": "MB",
|
5 |
+
"max_ram": 939.044864,
|
6 |
"max_global_vram": null,
|
7 |
"max_process_vram": null,
|
8 |
"max_reserved": null,
|
|
|
10 |
},
|
11 |
"latency": {
|
12 |
"unit": "s",
|
13 |
+
"count": 31,
|
14 |
+
"total": 1.0170097550001742,
|
15 |
+
"mean": 0.0328067662903282,
|
16 |
+
"stdev": 0.0012534424279642537,
|
17 |
+
"p50": 0.0325503919999619,
|
18 |
+
"p90": 0.03432389400001057,
|
19 |
+
"p95": 0.035196475000020655,
|
20 |
+
"p99": 0.03688595170000326,
|
21 |
"values": [
|
22 |
+
0.03329010800001697,
|
23 |
+
0.032753242000012506,
|
24 |
+
0.0323538740000231,
|
25 |
+
0.03208663399999523,
|
26 |
+
0.03208828600003244,
|
27 |
+
0.03259089800002357,
|
28 |
+
0.03203295299999809,
|
29 |
+
0.03188997400002336,
|
30 |
+
0.03281402599998273,
|
31 |
+
0.03364345900001808,
|
32 |
+
0.03195632900002465,
|
33 |
+
0.03252420300003678,
|
34 |
+
0.0325503919999619,
|
35 |
+
0.032782827000005454,
|
36 |
+
0.031958463000023585,
|
37 |
+
0.031905854000001455,
|
38 |
+
0.032671144999994794,
|
39 |
+
0.032172424000009414,
|
40 |
+
0.03329541700003347,
|
41 |
+
0.03277426099998593,
|
42 |
+
0.03311885699997674,
|
43 |
+
0.03485286800002996,
|
44 |
+
0.032859260999998696,
|
45 |
+
0.03554008200001135,
|
46 |
+
0.03746275299999979,
|
47 |
+
0.03432389400001057,
|
48 |
+
0.032140733999995064,
|
49 |
+
0.03133081699996865,
|
50 |
+
0.03154250399995817,
|
51 |
+
0.031536683000013,
|
52 |
+
0.03216653300000871
|
53 |
]
|
54 |
},
|
55 |
"throughput": {
|
56 |
"unit": "samples/s",
|
57 |
+
"value": 30.481516866074397
|
58 |
},
|
59 |
"energy": {
|
60 |
"unit": "kWh",
|
61 |
+
"cpu": 1.2368307345443303e-06,
|
62 |
+
"ram": 5.1688825600493256e-08,
|
63 |
"gpu": 0.0,
|
64 |
+
"total": 1.2885195601448236e-06
|
65 |
},
|
66 |
"efficiency": {
|
67 |
"unit": "samples/kWh",
|
68 |
+
"value": 776084.454540686
|
69 |
}
|
70 |
}
|
71 |
}
|