Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
5d83725
•
1 Parent(s): cf12367

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 -38
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": 528.36352,
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": 3.296785952999983,
15
- "mean": 3.296785952999983,
16
  "stdev": 0.0,
17
- "p50": 3.296785952999983,
18
- "p90": 3.296785952999983,
19
- "p95": 3.296785952999983,
20
- "p99": 3.296785952999983,
21
  "values": [
22
- 3.296785952999983
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.958770850000085e-06,
29
- "ram": 4.1592625466139393e-07,
30
  "gpu": 0,
31
- "total": 1.0374697104661479e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 557.981696,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,44 +43,42 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 13,
47
- "total": 1.073969335000072,
48
- "mean": 0.08261302576923632,
49
- "stdev": 0.004085900082080092,
50
- "p50": 0.08308984300001043,
51
- "p90": 0.08852748100000554,
52
- "p95": 0.0896080617999985,
53
- "p99": 0.08977028835999022,
54
  "values": [
55
- 0.08313473700002305,
56
- 0.08474591300000611,
57
- 0.08265180600000122,
58
- 0.08383334000001241,
59
- 0.08292838200000574,
60
- 0.0844772819999946,
61
- 0.08308984300001043,
62
- 0.08981084499998815,
63
- 0.08947287300000539,
64
- 0.07854663599999867,
65
- 0.077040616000005,
66
- 0.07732211000001143,
67
- 0.07691495200000986
68
  ]
69
  },
70
  "throughput": {
71
  "unit": "samples/s",
72
- "value": 12.104628667073746
73
  },
74
  "energy": {
75
  "unit": "kWh",
76
- "cpu": 3.0607895769231167e-06,
77
- "ram": 1.2791612280282949e-07,
78
  "gpu": 0.0,
79
- "total": 3.1887056997259463e-06
80
  },
81
  "efficiency": {
82
  "unit": "samples/kWh",
83
- "value": 313606.8656589867
84
  }
85
  }
86
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 528.842752,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.3125029109999957,
15
+ "mean": 3.3125029109999957,
16
  "stdev": 0.0,
17
+ "p50": 3.3125029109999957,
18
+ "p90": 3.3125029109999957,
19
+ "p95": 3.3125029109999957,
20
+ "p99": 3.3125029109999957,
21
  "values": [
22
+ 3.3125029109999957
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0038804222223202e-05,
29
+ "ram": 4.1916014717190794e-07,
30
  "gpu": 0,
31
+ "total": 1.045796436939511e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 557.686784,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 11,
47
+ "total": 1.062186826000044,
48
+ "mean": 0.09656243872727673,
49
+ "stdev": 0.021775813597020858,
50
+ "p50": 0.08562577200001442,
51
+ "p90": 0.12642572699999732,
52
+ "p95": 0.12761996400000442,
53
+ "p99": 0.1285753536000101,
54
  "values": [
55
+ 0.08562577200001442,
56
+ 0.11902911800001448,
57
+ 0.12642572699999732,
58
+ 0.12535329600001432,
59
+ 0.1288142010000115,
60
+ 0.08037569800001165,
61
+ 0.07769746200000327,
62
+ 0.07733417500000428,
63
+ 0.07694672199997399,
64
+ 0.07723732400000927,
65
+ 0.08734733099998948
 
 
66
  ]
67
  },
68
  "throughput": {
69
  "unit": "samples/s",
70
+ "value": 10.3559936263035
71
  },
72
  "energy": {
73
  "unit": "kWh",
74
+ "cpu": 2.998439093162466e-06,
75
+ "ram": 1.2531024121649517e-07,
76
  "gpu": 0.0,
77
+ "total": 3.1237493343789616e-06
78
  },
79
  "efficiency": {
80
  "unit": "samples/kWh",
81
+ "value": 320128.11943465745
82
  }
83
  }
84
  }