IlyasMoutawwakil HF staff commited on
Commit
e2d308f
1 Parent(s): e038850

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": 939.290624,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,58 +11,58 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 28,
14
- "total": 1.0340433569999732,
15
- "mean": 0.03693011989285618,
16
- "stdev": 0.0008697997297981205,
17
- "p50": 0.0370160869999836,
18
- "p90": 0.03775496000002363,
19
- "p95": 0.038200510350037575,
20
- "p99": 0.038788220050007566,
21
  "values": [
22
- 0.03772117400001207,
23
- 0.03839797300003056,
24
- 0.03655120700000225,
25
- 0.0374676129999898,
26
- 0.03548230699999522,
27
- 0.03730423700000074,
28
- 0.03694528099998706,
29
- 0.03703011800001832,
30
- 0.03622215400002915,
31
- 0.0371436190000054,
32
- 0.036962240999969254,
33
- 0.03427942799999073,
34
- 0.03676432299999988,
35
- 0.03760487799996781,
36
- 0.036440629999958674,
37
- 0.03662862999999561,
38
- 0.03703104999999596,
39
- 0.03584624400002667,
40
- 0.03893255799999906,
41
- 0.03700205599994888,
42
- 0.03623064000004206,
43
- 0.037189404000002924,
44
- 0.0378337940000506,
45
- 0.036579349000021466,
46
- 0.03713506399998323,
47
- 0.03653553699996337,
48
- 0.03748715799997626,
49
- 0.03729469000001018
50
  ]
51
  },
52
  "throughput": {
53
  "unit": "samples/s",
54
- "value": 27.07816825131514
55
  },
56
  "energy": {
57
  "unit": "kWh",
58
- "cpu": 1.23779210779402e-06,
59
- "ram": 5.1729365770363244e-08,
60
  "gpu": 0.0,
61
- "total": 1.2895214735643833e-06
62
  },
63
  "efficiency": {
64
  "unit": "samples/kWh",
65
- "value": 775481.4638610762
66
  }
67
  }
68
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 939.15136,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 28,
14
+ "total": 1.0073551040000552,
15
+ "mean": 0.035976968000001976,
16
+ "stdev": 0.0007639329100182599,
17
+ "p50": 0.036214992500021026,
18
+ "p90": 0.03678551820001417,
19
+ "p95": 0.03702797020000901,
20
+ "p99": 0.03713457283997854,
21
  "values": [
22
+ 0.03716170999996393,
23
+ 0.03636561899998014,
24
+ 0.035734768999986954,
25
+ 0.0363423960000091,
26
+ 0.03426812399999335,
27
+ 0.036389765000024,
28
+ 0.03610537200000863,
29
+ 0.036271754000040346,
30
+ 0.035466367000026366,
31
+ 0.0361885880000159,
32
+ 0.03584433399998943,
33
+ 0.033916906000001745,
34
+ 0.03624891099997285,
35
+ 0.036966253999992205,
36
+ 0.03564697500002012,
37
+ 0.035568777999969825,
38
+ 0.036023478999993586,
39
+ 0.03450458599996864,
40
+ 0.037061202000018056,
41
+ 0.03500256900002796,
42
+ 0.036241397000026154,
43
+ 0.036244312000007994,
44
+ 0.03634723599998324,
45
+ 0.03626445100002229,
46
+ 0.035882184999991296,
47
+ 0.036067172000002756,
48
+ 0.036521832999994785,
49
+ 0.03670806000002358
50
  ]
51
  },
52
  "throughput": {
53
  "unit": "samples/s",
54
+ "value": 27.79556075987129
55
  },
56
  "energy": {
57
  "unit": "kWh",
58
+ "cpu": 1.194548486459135e-06,
59
+ "ram": 4.9922078020406295e-08,
60
  "gpu": 0.0,
61
+ "total": 1.2444705644795412e-06
62
  },
63
  "efficiency": {
64
  "unit": "samples/kWh",
65
+ "value": 803554.5625124666
66
  }
67
  }
68
  }