IlyasMoutawwakil HF staff commited on
Commit
6eb5f1e
1 Parent(s): ea4942c

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": 940.46208,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 4.351824306000026,
15
- "mean": 4.351824306000026,
16
  "stdev": 0.0,
17
- "p50": 4.351824306000026,
18
- "p90": 4.351824306000026,
19
- "p95": 4.351824306000026,
20
- "p99": 4.351824306000026,
21
  "values": [
22
- 4.351824306000026
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.8534108532799616e-05,
29
- "ram": 2.028484392390055e-06,
30
  "gpu": 0,
31
- "total": 5.0562592925189674e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 951.472128,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,53 +43,56 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 22,
47
- "total": 1.0254259049999632,
48
- "mean": 0.04661026840908924,
49
- "stdev": 0.0019988316068848323,
50
- "p50": 0.046479095999984565,
51
- "p90": 0.04746222160000002,
52
- "p95": 0.047577709449973325,
53
- "p99": 0.053196301369955554,
54
  "values": [
55
- 0.05468849899995121,
56
- 0.04748106499999949,
57
- 0.04556952000001502,
58
- 0.0472926310000048,
59
- 0.047139792999985275,
60
- 0.04643960600003538,
61
- 0.046614083999998,
62
- 0.0440417469999943,
63
- 0.047087705000024016,
64
- 0.04650188200002958,
65
- 0.045884662999981174,
66
- 0.04660533800000621,
67
- 0.04723800700003267,
68
- 0.045350808000023335,
69
- 0.04646948300000986,
70
- 0.04648870899995927,
71
- 0.04621135700000423,
72
- 0.04446125499998743,
73
- 0.04599767500002372,
74
- 0.045471624999947835,
75
- 0.04758279599997195,
76
- 0.04480765699997846
 
 
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
- "value": 21.45449992313271
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
- "cpu": 1.5690657297770185e-06,
86
- "ram": 6.557472835402222e-08,
87
  "gpu": 0.0,
88
- "total": 1.6346404581310409e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
- "value": 611755.3221112279
93
  }
94
  }
95
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 940.896256,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.294300738999993,
15
+ "mean": 4.294300738999993,
16
  "stdev": 0.0,
17
+ "p50": 4.294300738999993,
18
+ "p90": 4.294300738999993,
19
+ "p95": 4.294300738999993,
20
+ "p99": 4.294300738999993,
21
  "values": [
22
+ 4.294300738999993
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.729492796791925e-05,
29
+ "ram": 1.976693946495137e-06,
30
  "gpu": 0,
31
+ "total": 4.9271621914414386e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 952.037376,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 25,
47
+ "total": 1.0192280800001186,
48
+ "mean": 0.04076912320000474,
49
+ "stdev": 0.0009154851199496202,
50
+ "p50": 0.04054060300001083,
51
+ "p90": 0.04175910440002326,
52
+ "p95": 0.04304596959997297,
53
+ "p99": 0.043541344319980906,
54
  "values": [
55
+ 0.04056041900003038,
56
+ 0.03995646499998884,
57
+ 0.04003869900003565,
58
+ 0.040506896000010784,
59
+ 0.04334377699996139,
60
+ 0.040216223000015816,
61
+ 0.040151632000004156,
62
+ 0.04022564000001694,
63
+ 0.04185474000001932,
64
+ 0.04044707600002084,
65
+ 0.04025971499999059,
66
+ 0.04020112400002063,
67
+ 0.04069693499997129,
68
+ 0.04018035500001815,
69
+ 0.040560949999985496,
70
+ 0.04084741900004474,
71
+ 0.04079671300002019,
72
+ 0.04039495799997894,
73
+ 0.03995071399998551,
74
+ 0.040581127999985256,
75
+ 0.04061655900000005,
76
+ 0.04107995499998651,
77
+ 0.04054060300001083,
78
+ 0.04360373399998707,
79
+ 0.041615651000029175
80
  ]
81
  },
82
  "throughput": {
83
  "unit": "samples/s",
84
+ "value": 24.52836660465349
85
  },
86
  "energy": {
87
  "unit": "kWh",
88
+ "cpu": 1.5182181810721375e-06,
89
+ "ram": 6.344991890692415e-08,
90
  "gpu": 0.0,
91
+ "total": 1.5816680999790617e-06
92
  },
93
  "efficiency": {
94
  "unit": "samples/kWh",
95
+ "value": 632243.8949190655
96
  }
97
  }
98
  }