Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
38fa657
•
1 Parent(s): 290f2ad

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 +37 -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": 527.40096,
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": 3.286130689999993,
15
- "mean": 3.286130689999993,
16
  "stdev": 0.0,
17
- "p50": 3.286130689999993,
18
- "p90": 3.286130689999993,
19
- "p95": 3.286130689999993,
20
- "p99": 3.286130689999993,
21
  "values": [
22
- 3.286130689999993
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0239339016666963e-05,
29
- "ram": 4.276510976609875e-07,
30
  "gpu": 0,
31
- "total": 1.0666990114327951e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 553.844736,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,42 +43,43 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 11,
47
- "total": 1.052520128999987,
48
- "mean": 0.09568364809090792,
49
- "stdev": 0.023478286632892344,
50
- "p50": 0.07863218099998903,
51
- "p90": 0.12927358700000013,
52
- "p95": 0.12947703500000785,
53
- "p99": 0.12963979340001403,
54
  "values": [
55
- 0.12896562299999914,
56
- 0.12927358700000013,
57
- 0.12968048300001556,
58
- 0.11790873600000396,
59
- 0.07863218099998903,
60
- 0.08125725100001091,
61
- 0.07770276299999068,
62
- 0.0774782339999831,
63
- 0.07706669600000282,
64
- 0.07719276000000264,
65
- 0.07736181499998906
 
66
  ]
67
  },
68
  "throughput": {
69
  "unit": "samples/s",
70
- "value": 10.451106536509892
71
  },
72
  "energy": {
73
  "unit": "kWh",
74
- "cpu": 3.1011446217948157e-06,
75
- "ram": 1.2960413776101863e-07,
76
  "gpu": 0.0,
77
- "total": 3.2307487595558347e-06
78
  },
79
  "efficiency": {
80
  "unit": "samples/kWh",
81
- "value": 309525.770780604
82
  }
83
  }
84
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 528.277504,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.3611544179999555,
15
+ "mean": 3.3611544179999555,
16
  "stdev": 0.0,
17
+ "p50": 3.3611544179999555,
18
+ "p90": 3.3611544179999555,
19
+ "p95": 3.3611544179999555,
20
+ "p99": 3.3611544179999555,
21
  "values": [
22
+ 3.3611544179999555
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.833728838887625e-06,
29
+ "ram": 4.1056820856654176e-07,
30
  "gpu": 0,
31
+ "total": 1.0244297047454167e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 554.135552,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 12,
47
+ "total": 1.047815681999964,
48
+ "mean": 0.087317973499997,
49
+ "stdev": 0.006202733546072125,
50
+ "p50": 0.08852332199998614,
51
+ "p90": 0.09152397860003703,
52
+ "p95": 0.0947691359000089,
53
+ "p99": 0.09792102397997837,
54
  "values": [
55
+ 0.08883139699997855,
56
+ 0.09072566300000062,
57
+ 0.08821524699999372,
58
+ 0.09132926000000907,
59
+ 0.08818903799999589,
60
+ 0.09154561400004013,
61
+ 0.08901619199997413,
62
+ 0.09870899599997074,
63
+ 0.08819779399999561,
64
+ 0.07807866500002092,
65
+ 0.07784774199996036,
66
+ 0.07713007400002425
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.452395880443039
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.044603016239345e-06,
76
+ "ram": 1.2724032913667093e-07,
77
  "gpu": 0.0,
78
+ "total": 3.1718433453760156e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 315274.08232749655
83
  }
84
  }
85
  }