Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
de37bde
•
1 Parent(s): 3f34487

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": 530.88256,
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": 3.4598053160000006,
15
- "mean": 3.4598053160000006,
16
  "stdev": 0.0,
17
- "p50": 3.4598053160000006,
18
- "p90": 3.4598053160000006,
19
- "p95": 3.4598053160000006,
20
- "p99": 3.4598053160000006,
21
  "values": [
22
- 3.4598053160000006
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.943800502353245e-06,
29
- "ram": 4.152026350561755e-07,
30
  "gpu": 0,
31
- "total": 1.035900313740942e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 559.865856,
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": 1.0440708010000606,
48
- "mean": 0.08700590008333837,
49
- "stdev": 0.004591633241221533,
50
- "p50": 0.08792876600000454,
51
- "p90": 0.08936795330000394,
52
- "p95": 0.09289912935000189,
53
- "p99": 0.09630707146999953,
54
  "values": [
55
- 0.08792324600000256,
56
- 0.08895592700000066,
57
- 0.08671701000000098,
58
- 0.08800033099998927,
59
- 0.08793428600000652,
60
- 0.08803332300001898,
61
- 0.0894137340000043,
62
- 0.08780084700001112,
63
- 0.09715905699999894,
64
- 0.0840264990000037,
65
- 0.07856260400001247,
66
- 0.07954393700001106
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.493473420103149
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.0767181999663004e-06,
76
- "ram": 1.2858106143242436e-07,
77
  "gpu": 0.0,
78
- "total": 3.205299261398725e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 311983.3495870277
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 530.59584,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.51064725599997,
15
+ "mean": 3.51064725599997,
16
  "stdev": 0.0,
17
+ "p50": 3.51064725599997,
18
+ "p90": 3.51064725599997,
19
+ "p95": 3.51064725599997,
20
+ "p99": 3.51064725599997,
21
  "values": [
22
+ 3.51064725599997
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0040839513142904e-05,
29
+ "ram": 4.193200184874968e-07,
30
  "gpu": 0,
31
+ "total": 1.04601595316304e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 558.931968,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.0202683319998869,
48
+ "mean": 0.08502236099999057,
49
+ "stdev": 0.0035973290813633113,
50
+ "p50": 0.08511125999999081,
51
+ "p90": 0.08881116719996385,
52
+ "p95": 0.09053418454996347,
53
+ "p99": 0.0919985921099675,
54
  "values": [
55
+ 0.0832453979999741,
56
+ 0.08678321700000424,
57
+ 0.08418537800002923,
58
+ 0.08442814400001453,
59
+ 0.08579437599996709,
60
+ 0.08326060599995344,
61
+ 0.08627065300004233,
62
+ 0.08658704200001921,
63
+ 0.08903649499995936,
64
+ 0.0923646939999685,
65
+ 0.07999983999997085,
66
+ 0.078312488999984
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.761611748233044
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.1177310862092893e-06,
76
+ "ram": 1.30293768195053e-07,
77
  "gpu": 0.0,
78
+ "total": 3.2480248544043424e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 307879.41743856843
83
  }
84
  }
85
  }