IlyasMoutawwakil HF staff commited on
Commit
16f265a
1 Parent(s): 6f96540

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": 942.46912,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,57 +11,57 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 27,
14
- "total": 1.0152888579999058,
15
- "mean": 0.03760329103703355,
16
- "stdev": 0.0006997148158070969,
17
- "p50": 0.03749349299999949,
18
- "p90": 0.03824376379999421,
19
- "p95": 0.03859012710000229,
20
- "p99": 0.03926218007997136,
21
  "values": [
22
- 0.039451808999956484,
23
- 0.03800046999998585,
24
- 0.0374267189999955,
25
- 0.03802626800001008,
26
- 0.03632131400001981,
27
- 0.038722467000013694,
28
- 0.03780195899997807,
29
- 0.037715387000048395,
30
- 0.037643973999990976,
31
- 0.03809837299996843,
32
- 0.035663075999991634,
33
- 0.03721623600000612,
34
- 0.038281333999975686,
35
- 0.03740945599997758,
36
- 0.03732248400001481,
37
- 0.0379812439999796,
38
- 0.03722268800004258,
39
- 0.03749349299999949,
40
- 0.037069050000013704,
41
- 0.03718989599997258,
42
- 0.037773354999956155,
43
- 0.037454459999992196,
44
- 0.03729002299996864,
45
- 0.03729687600002762,
46
- 0.037168065000003025,
47
- 0.03802966500001048,
48
- 0.03821871700000656
49
  ]
50
  },
51
  "throughput": {
52
  "unit": "samples/s",
53
- "value": 26.593417023397006
54
  },
55
  "energy": {
56
  "unit": "kWh",
57
- "cpu": 1.265701299072594e-06,
58
- "ram": 5.2895310886301114e-08,
59
  "gpu": 0.0,
60
- "total": 1.3185966099588951e-06
61
  },
62
  "efficiency": {
63
  "unit": "samples/kWh",
64
- "value": 758382.0498607025
65
  }
66
  }
67
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 942.678016,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 27,
14
+ "total": 1.0011396250001212,
15
+ "mean": 0.03707924537037486,
16
+ "stdev": 0.002209043994242168,
17
+ "p50": 0.03740749600001436,
18
+ "p90": 0.038863780199972095,
19
+ "p95": 0.04012849979999942,
20
+ "p99": 0.04099374792003232,
21
  "values": [
22
+ 0.038997107999989566,
23
+ 0.03718017199997803,
24
+ 0.037342103000014504,
25
+ 0.038476367999976446,
26
+ 0.036058471000046666,
27
+ 0.04061338200000364,
28
+ 0.041127390000042396,
29
+ 0.03753128599998945,
30
+ 0.03691832300000897,
31
+ 0.03666173499999559,
32
+ 0.037618609999981345,
33
+ 0.038186928000015996,
34
+ 0.03821287699997811,
35
+ 0.03719380700005104,
36
+ 0.037489979000042695,
37
+ 0.03774171899999601,
38
+ 0.03712541900000588,
39
+ 0.03740749600001436,
40
+ 0.03753298000003724,
41
+ 0.03877489499996045,
42
+ 0.037513822999983404,
43
+ 0.037174751999998534,
44
+ 0.036789462999990974,
45
+ 0.036522616000013386,
46
+ 0.031778712000004816,
47
+ 0.03172392999999829,
48
+ 0.03144528100000343
49
  ]
50
  },
51
  "throughput": {
52
  "unit": "samples/s",
53
+ "value": 26.969265151198798
54
  },
55
  "energy": {
56
  "unit": "kWh",
57
+ "cpu": 1.2697761204080345e-06,
58
+ "ram": 5.306578858710875e-08,
59
  "gpu": 0.0,
60
+ "total": 1.322841908995143e-06
61
  },
62
  "efficiency": {
63
  "unit": "samples/kWh",
64
+ "value": 755948.2302459104
65
  }
66
  }
67
  }