Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
47f7725
•
1 Parent(s): ff887a9

Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json +36 -36
cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 530.317312,
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": 3.362673263000005,
15
- "mean": 3.362673263000005,
16
  "stdev": 0.0,
17
- "p50": 3.362673263000005,
18
- "p90": 3.362673263000005,
19
- "p95": 3.362673263000005,
20
- "p99": 3.362673263000005,
21
  "values": [
22
- 3.362673263000005
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.896319442325168e-06,
29
- "ram": 4.1315033859859794e-07,
30
  "gpu": 0,
31
- "total": 1.0309469780923766e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 557.883392,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,42 +44,42 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
- "total": 1.0234924479999847,
48
- "mean": 0.08529103733333206,
49
- "stdev": 0.005191050306587773,
50
- "p50": 0.086670091000002,
51
- "p90": 0.09000766119998502,
52
- "p95": 0.09285640879998452,
53
- "p99": 0.09545219935998461,
54
  "values": [
55
- 0.08296419399999877,
56
- 0.08669252800001459,
57
- 0.08273061899998879,
58
- 0.08709813400000144,
59
- 0.08664765399998942,
60
- 0.08826200499999004,
61
- 0.08780591500001833,
62
- 0.09020162299998447,
63
- 0.09610114699998462,
64
- 0.079423931000008,
65
- 0.07706939900000975,
66
- 0.07849529899999652
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.72456135211286
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.050993854164059e-06,
76
- "ram": 1.2750638974195611e-07,
77
  "gpu": 0.0,
78
- "total": 3.1785002439060147e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 314613.7874040601
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 530.522112,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.6243194859999903,
15
+ "mean": 3.6243194859999903,
16
  "stdev": 0.0,
17
+ "p50": 3.6243194859999903,
18
+ "p90": 3.6243194859999903,
19
+ "p95": 3.6243194859999903,
20
+ "p99": 3.6243194859999903,
21
  "values": [
22
+ 3.6243194859999903
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0900904072655573e-05,
29
+ "ram": 4.5522493532303087e-07,
30
  "gpu": 0,
31
+ "total": 1.1356129007978604e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 559.06304,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.033509859999981,
48
+ "mean": 0.08612582166666509,
49
+ "stdev": 0.003221535186687504,
50
+ "p50": 0.08605365099998608,
51
+ "p90": 0.0877828384000054,
52
+ "p95": 0.09062087310000493,
53
+ "p99": 0.09338736342000062,
54
  "values": [
55
+ 0.0841759839999554,
56
+ 0.0871322300000088,
57
+ 0.08480650900003184,
58
+ 0.08575900199997477,
59
+ 0.08779150800000934,
60
+ 0.08406437600001482,
61
+ 0.08770481199996993,
62
+ 0.08663361400004987,
63
+ 0.08555557300002192,
64
+ 0.09407898599999953,
65
+ 0.08634829999999738,
66
+ 0.0794589659999474
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.610919706175052
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.1120067987686548e-06,
76
+ "ram": 1.300555187435748e-07,
77
  "gpu": 0.0,
78
+ "total": 3.24206231751223e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 308445.6441809983
83
  }
84
  }
85
  }