IlyasMoutawwakil HF staff commited on
Commit
72f8b0a
1 Parent(s): a10d5d5

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": 936.615936,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,60 +10,59 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 29,
14
- "total": 1.016155399999775,
15
- "mean": 0.035039841379302585,
16
- "stdev": 0.0026555138290588897,
17
- "p50": 0.03376868799995236,
18
- "p90": 0.03870816119999745,
19
- "p95": 0.0389829794000093,
20
- "p99": 0.03914403499998343,
21
  "values": [
22
- 0.037724196999988635,
23
- 0.038665170999991005,
24
- 0.037768078999988575,
25
- 0.03794336500004647,
26
- 0.03905155100000002,
27
- 0.03758536799995227,
28
- 0.03888012200002322,
29
- 0.03810063800000307,
30
- 0.03800771599998143,
31
- 0.03918000099997698,
32
- 0.03813908000000765,
33
- 0.03485563899999988,
34
- 0.03261198699999568,
35
- 0.03357896899996149,
36
- 0.03251609799997368,
37
- 0.03276753000000099,
38
- 0.032610121999994135,
39
- 0.0321942460000173,
40
- 0.032280436999997164,
41
- 0.032438221000006706,
42
- 0.03347698999999693,
43
- 0.03238878899998099,
44
- 0.03376868799995236,
45
- 0.03243923599995924,
46
- 0.03250867599996354,
47
- 0.03353637200001458,
48
- 0.03409169699995118,
49
- 0.03526088900002833,
50
- 0.03178552600002149
51
  ]
52
  },
53
  "throughput": {
54
  "unit": "samples/s",
55
- "value": 28.538941976794515
56
  },
57
  "energy": {
58
  "unit": "kWh",
59
- "cpu": 1.3160001790082015e-06,
60
- "ram": 5.4997153930277895e-08,
61
  "gpu": 0.0,
62
- "total": 1.3709973329384794e-06
63
  },
64
  "efficiency": {
65
  "unit": "samples/kWh",
66
- "value": 729396.0214034005
67
  }
68
  }
69
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 936.767488,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 28,
14
+ "total": 1.0101344830001722,
15
+ "mean": 0.036076231535720434,
16
+ "stdev": 0.000694139201075085,
17
+ "p50": 0.03610273799998254,
18
+ "p90": 0.0368631685000139,
19
+ "p95": 0.0370095093000117,
20
+ "p99": 0.03728659555002707,
21
  "values": [
22
+ 0.036092067999959454,
23
+ 0.03657427499996402,
24
+ 0.03627225300004966,
25
+ 0.037370143000032385,
26
+ 0.03492255499998009,
27
+ 0.036914426000009826,
28
+ 0.036810113000001365,
29
+ 0.03633397800001603,
30
+ 0.036814120000030925,
31
+ 0.03706070800001271,
32
+ 0.035931369000024915,
33
+ 0.03616614599997092,
34
+ 0.036841201000015644,
35
+ 0.035238772000013796,
36
+ 0.035587830999986636,
37
+ 0.035485891999996966,
38
+ 0.03598002900002939,
39
+ 0.035328329000037684,
40
+ 0.03523166899998387,
41
+ 0.03447857999998405,
42
+ 0.03579876300000251,
43
+ 0.03569773500004203,
44
+ 0.03595847999997659,
45
+ 0.03611340800000562,
46
+ 0.035329200000035144,
47
+ 0.0367212780000159,
48
+ 0.0365498379999849,
49
+ 0.036531324000009135
 
50
  ]
51
  },
52
  "throughput": {
53
  "unit": "samples/s",
54
+ "value": 27.719081440362263
55
  },
56
  "energy": {
57
  "unit": "kWh",
58
+ "cpu": 1.2407072302367953e-06,
59
+ "ram": 5.18503560006689e-08,
60
  "gpu": 0.0,
61
+ "total": 1.2925575862374642e-06
62
  },
63
  "efficiency": {
64
  "unit": "samples/kWh",
65
+ "value": 773659.9209563445
66
  }
67
  }
68
  }