IlyasMoutawwakil HF staff commited on
Commit
fa91beb
1 Parent(s): e4fea25

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
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 967.348224,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,15 +11,15 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 1.259143196000025
15
  ],
16
  "count": 1,
17
- "total": 1.259143196000025,
18
- "mean": 1.259143196000025,
19
- "p50": 1.259143196000025,
20
- "p90": 1.259143196000025,
21
- "p95": 1.259143196000025,
22
- "p99": 1.259143196000025,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
@@ -30,7 +30,7 @@
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
- "max_ram": 975.60576,
34
  "max_global_vram": null,
35
  "max_process_vram": null,
36
  "max_reserved": null,
@@ -39,59 +39,42 @@
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
- 0.04134855299997753,
43
- 0.03980547300000126,
44
- 0.036524000999975215,
45
- 0.0363250100000414,
46
- 0.03849340599998641,
47
- 0.033670236999967074,
48
- 0.03662184399996704,
49
- 0.03400348899998562,
50
- 0.03581257400003324,
51
- 0.0367397139999639,
52
- 0.03581842500000221,
53
- 0.03429234700001871,
54
- 0.03452939999999671,
55
- 0.035058477999996285,
56
- 0.03288451100002021,
57
- 0.033002731999999924,
58
- 0.03274014200002284,
59
- 0.032771269999955166,
60
- 0.033267905999991854,
61
- 0.03382941400002437,
62
- 0.034541262000004735,
63
- 0.034603747999994994,
64
- 0.040686757000003126,
65
- 0.03903687999996919,
66
- 0.038817409999978736,
67
- 0.040607710000017505,
68
- 0.04100459099998943,
69
- 0.040230747000009615
70
  ],
71
- "count": 28,
72
- "total": 1.0170680309998943,
73
- "mean": 0.036323858249996226,
74
- "p50": 0.03581549950001772,
75
- "p90": 0.04063142410001319,
76
- "p95": 0.040893349099994224,
77
- "p99": 0.04125568325998074,
78
- "stdev": 0.0028184781986868956,
79
- "stdev_": 7.759302933319834
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
- "value": 27.530115141337
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
- "cpu": 1.2973221294444778e-06,
88
- "ram": 5.4216226129131595e-08,
89
  "gpu": 0.0,
90
- "total": 1.3515383555736092e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
- "value": 739897.6106568488
95
  }
96
  }
97
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 965.894144,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 1.2284593859999973
15
  ],
16
  "count": 1,
17
+ "total": 1.2284593859999973,
18
+ "mean": 1.2284593859999973,
19
+ "p50": 1.2284593859999973,
20
+ "p90": 1.2284593859999973,
21
+ "p95": 1.2284593859999973,
22
+ "p99": 1.2284593859999973,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
 
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
+ "max_ram": 980.516864,
34
  "max_global_vram": null,
35
  "max_process_vram": null,
36
  "max_reserved": null,
 
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
+ 0.1238886159999879,
43
+ 0.12290218300000788,
44
+ 0.12276183199998059,
45
+ 0.12147735500002455,
46
+ 0.122830160000035,
47
+ 0.1105314069999963,
48
+ 0.06386351399999057,
49
+ 0.06171119399999725,
50
+ 0.06070957299999691,
51
+ 0.06110229299997627,
52
+ 0.06171753699999272
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
53
  ],
54
+ "count": 11,
55
+ "total": 1.033495663999986,
56
+ "mean": 0.093954151272726,
57
+ "p50": 0.1105314069999963,
58
+ "p90": 0.12290218300000788,
59
+ "p95": 0.1233953994999979,
60
+ "p99": 0.1237899726999899,
61
+ "stdev": 0.02954011115969721,
62
+ "stdev_": 31.440985586628813
63
  },
64
  "throughput": {
65
  "unit": "samples/s",
66
+ "value": 21.28697851992178
67
  },
68
  "energy": {
69
  "unit": "kWh",
70
+ "cpu": 2.386661140522803e-06,
71
+ "ram": 9.974284266989785e-08,
72
  "gpu": 0.0,
73
+ "total": 2.486403983192701e-06
74
  },
75
  "efficiency": {
76
  "unit": "samples/kWh",
77
+ "value": 804374.5157743323
78
  }
79
  }
80
  }