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,
|
@@ -10,56 +10,55 @@
|
|
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 |
-
0.039092933999995694
|
47 |
]
|
48 |
},
|
49 |
"throughput": {
|
50 |
"unit": "samples/s",
|
51 |
-
"value":
|
52 |
},
|
53 |
"energy": {
|
54 |
"unit": "kWh",
|
55 |
-
"cpu": 1.
|
56 |
-
"ram": 6.
|
57 |
"gpu": 0.0,
|
58 |
-
"total": 1.
|
59 |
},
|
60 |
"efficiency": {
|
61 |
"unit": "samples/kWh",
|
62 |
-
"value":
|
63 |
}
|
64 |
}
|
65 |
}
|
|
|
2 |
"forward": {
|
3 |
"memory": {
|
4 |
"unit": "MB",
|
5 |
+
"max_ram": 939.97056,
|
6 |
"max_global_vram": null,
|
7 |
"max_process_vram": null,
|
8 |
"max_reserved": null,
|
|
|
10 |
},
|
11 |
"latency": {
|
12 |
"unit": "s",
|
13 |
+
"count": 24,
|
14 |
+
"total": 1.023475362000113,
|
15 |
+
"mean": 0.042644806750004705,
|
16 |
+
"stdev": 0.0031694240338112946,
|
17 |
+
"p50": 0.04121042849999412,
|
18 |
+
"p90": 0.047066541899999946,
|
19 |
+
"p95": 0.04796969240003932,
|
20 |
+
"p99": 0.048945033570034865,
|
21 |
"values": [
|
22 |
+
0.04919468500003177,
|
23 |
+
0.046352871999999934,
|
24 |
+
0.04672933300003024,
|
25 |
+
0.04810924400004524,
|
26 |
+
0.0468043729999863,
|
27 |
+
0.04673490400000446,
|
28 |
+
0.0471789000000058,
|
29 |
+
0.041417077999994945,
|
30 |
+
0.04180890800000725,
|
31 |
+
0.041644810999969195,
|
32 |
+
0.040061311999977534,
|
33 |
+
0.04079000900003393,
|
34 |
+
0.04174439700000221,
|
35 |
+
0.04020495999998275,
|
36 |
+
0.040919140000028165,
|
37 |
+
0.040641092000043955,
|
38 |
+
0.0410037789999933,
|
39 |
+
0.03970040000001518,
|
40 |
+
0.04045140900001343,
|
41 |
+
0.04371135099995627,
|
42 |
+
0.03887487299999748,
|
43 |
+
0.040000940000027185,
|
44 |
+
0.04011576300001707,
|
45 |
+
0.039280828999949335
|
|
|
46 |
]
|
47 |
},
|
48 |
"throughput": {
|
49 |
"unit": "samples/s",
|
50 |
+
"value": 23.44951416622118
|
51 |
},
|
52 |
"energy": {
|
53 |
"unit": "kWh",
|
54 |
+
"cpu": 1.5990934901767306e-06,
|
55 |
+
"ram": 6.682866404798915e-08,
|
56 |
"gpu": 0.0,
|
57 |
+
"total": 1.6659221542247199e-06
|
58 |
},
|
59 |
"efficiency": {
|
60 |
"unit": "samples/kWh",
|
61 |
+
"value": 600268.1442611441
|
62 |
}
|
63 |
}
|
64 |
}
|