Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
f2a5ce1
•
1 Parent(s): c117e0d

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": 525.06624,
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": 3.2976367220000213,
15
- "mean": 3.2976367220000213,
16
  "stdev": 0.0,
17
- "p50": 3.2976367220000213,
18
- "p90": 3.2976367220000213,
19
- "p95": 3.2976367220000213,
20
- "p99": 3.2976367220000213,
21
  "values": [
22
- 3.2976367220000213
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.855996237860786e-06,
29
- "ram": 4.1162129052963795e-07,
30
  "gpu": 0,
31
- "total": 1.0267617528390424e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 554.254336,
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": 1.0415200300000151,
48
- "mean": 0.0867933358333346,
49
- "stdev": 0.007173588090596848,
50
- "p50": 0.08969449699999643,
51
- "p90": 0.09305404810000936,
52
- "p95": 0.09515694510000969,
53
- "p99": 0.09704274902000691,
54
  "values": [
55
- 0.09115015599999765,
56
- 0.08973645000000374,
57
- 0.08958222200001842,
58
- 0.09083622099998934,
59
- 0.08965254399998912,
60
- 0.09148594299998081,
61
- 0.09322828200001254,
62
- 0.09751420000000621,
63
- 0.07827524399999675,
64
- 0.07703977799999961,
65
- 0.07643156500000714,
66
- 0.07658742500001381
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.521621912542408
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 2.9999987691895577e-06,
76
- "ram": 1.2537442834452751e-07,
77
  "gpu": 0.0,
78
- "total": 3.125373197534085e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 319961.7891357738
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 527.4624,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.2523707710000167,
15
+ "mean": 3.2523707710000167,
16
  "stdev": 0.0,
17
+ "p50": 3.2523707710000167,
18
+ "p90": 3.2523707710000167,
19
+ "p95": 3.2523707710000167,
20
+ "p99": 3.2523707710000167,
21
  "values": [
22
+ 3.2523707710000167
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.855959150526259e-06,
29
+ "ram": 4.116247788522287e-07,
30
  "gpu": 0,
31
+ "total": 1.0267583929378487e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 556.83072,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.0116669979999813,
48
+ "mean": 0.0843055831666651,
49
+ "stdev": 0.004882457004124943,
50
+ "p50": 0.08589038850000463,
51
+ "p90": 0.08762532700000633,
52
+ "p95": 0.09018938245000782,
53
+ "p99": 0.09263227169000772,
54
  "values": [
55
+ 0.085755397000014,
56
+ 0.08703451299999188,
57
+ 0.08495227499997782,
58
+ 0.08688044399997352,
59
+ 0.08602537999999527,
60
+ 0.08769097300000794,
61
+ 0.08667825599999901,
62
+ 0.09324299400000768,
63
+ 0.08291241000000582,
64
+ 0.07690771200000768,
65
+ 0.07677781800001071,
66
+ 0.07680882599998995
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.861610612705014
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.0678500477065395e-06,
76
+ "ram": 1.2821073275806435e-07,
77
  "gpu": 0.0,
78
+ "total": 3.1960607804646037e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 312885.1635464305
83
  }
84
  }
85
  }