Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
e7b1e1c
•
1 Parent(s): e5f7646

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": 525.103104,
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": 3.366680403999993,
15
- "mean": 3.366680403999993,
16
  "stdev": 0.0,
17
- "p50": 3.366680403999993,
18
- "p90": 3.366680403999993,
19
- "p95": 3.366680403999993,
20
- "p99": 3.366680403999993,
21
  "values": [
22
- 3.366680403999993
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0132575035095216e-05,
29
- "ram": 4.2310688987555527e-07,
30
  "gpu": 0,
31
- "total": 1.0555681924970772e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 551.40352,
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": 1.0579530430000545,
48
- "mean": 0.09617754936364133,
49
- "stdev": 0.023322523700862515,
50
- "p50": 0.07768296400001873,
51
- "p90": 0.13035236100000702,
52
- "p95": 0.13041923100000474,
53
- "p99": 0.13047272700000292,
54
  "values": [
55
- 0.1293963960000042,
56
- 0.13048610100000246,
57
- 0.13035236100000702,
58
- 0.11510298100000682,
59
- 0.08809892700000432,
60
- 0.07768296400001873,
61
- 0.07728701299998875,
62
- 0.07718100600001776,
63
- 0.07749358000000939,
64
- 0.07760229300001242,
65
- 0.07726942099998269
 
66
  ]
67
  },
68
  "throughput": {
69
  "unit": "samples/s",
70
- "value": 10.39743689266881
71
  },
72
  "energy": {
73
  "unit": "kWh",
74
- "cpu": 3.0317911734947795e-06,
75
- "ram": 1.2670088652550377e-07,
76
  "gpu": 0.0,
77
- "total": 3.1584920600202834e-06
78
  },
79
  "efficiency": {
80
  "unit": "samples/kWh",
81
- "value": 316606.77975349355
82
  }
83
  }
84
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 525.266944,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.3367578229999992,
15
+ "mean": 3.3367578229999992,
16
  "stdev": 0.0,
17
+ "p50": 3.3367578229999992,
18
+ "p90": 3.3367578229999992,
19
+ "p95": 3.3367578229999992,
20
+ "p99": 3.3367578229999992,
21
  "values": [
22
+ 3.3367578229999992
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.918089707692466e-06,
29
+ "ram": 4.1410110030028583e-07,
30
  "gpu": 0,
31
+ "total": 1.0332190807992752e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 553.353216,
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": 1.0449554819999776,
48
+ "mean": 0.08707962349999814,
49
+ "stdev": 0.006205863505149496,
50
+ "p50": 0.08936239900000942,
51
+ "p90": 0.09149769769998387,
52
+ "p95": 0.09376526114998711,
53
+ "p99": 0.09592191542999245,
54
  "values": [
55
+ 0.0898220280000146,
56
+ 0.0899852340000109,
57
+ 0.08785319899999422,
58
+ 0.09094064900000376,
59
+ 0.08861633200001506,
60
+ 0.09155959199998165,
61
+ 0.08890277000000424,
62
+ 0.09646107899999379,
63
+ 0.08999150599998984,
64
+ 0.07712038799999732,
65
+ 0.0767620149999857,
66
+ 0.07694068999998649
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.483742806949795
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.048675182538155e-06,
76
+ "ram": 1.2740868689469118e-07,
77
  "gpu": 0.0,
78
+ "total": 3.1760838694328463e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 314853.1465507459
83
  }
84
  }
85
  }