Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
d433c01
•
1 Parent(s): f8bb258

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": 528.449536,
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": 3.3850469029999886,
15
- "mean": 3.3850469029999886,
16
  "stdev": 0.0,
17
- "p50": 3.3850469029999886,
18
- "p90": 3.3850469029999886,
19
- "p95": 3.3850469029999886,
20
- "p99": 3.3850469029999886,
21
  "values": [
22
- 3.3850469029999886
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.039837501111123e-05,
29
- "ram": 4.3430191438445923e-07,
30
  "gpu": 0,
31
- "total": 1.083267692549569e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 556.716032,
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": 1.0070821829999943,
48
- "mean": 0.08392351524999953,
49
- "stdev": 0.0043611651115110645,
50
- "p50": 0.08382587499998806,
51
- "p90": 0.08889098150000337,
52
- "p95": 0.09130709385000842,
53
- "p99": 0.09330660037001394,
54
  "values": [
55
- 0.0829154420000009,
56
- 0.08538138899999126,
57
- 0.08265275799999472,
58
- 0.08413813799998593,
59
- 0.08351361199999019,
60
- 0.08555051900000876,
61
- 0.08468976099999281,
62
- 0.08926214400000276,
63
- 0.09380647700001532,
64
- 0.0794876360000103,
65
- 0.07817041300000938,
66
- 0.07751389399999198
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.915611459089897
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.036204093162378e-06,
76
- "ram": 1.2688798480222653e-07,
77
  "gpu": 0.0,
78
- "total": 3.1630920779646047e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 316146.3452064547
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 528.637952,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.2947270429999946,
15
+ "mean": 3.2947270429999946,
16
  "stdev": 0.0,
17
+ "p50": 3.2947270429999946,
18
+ "p90": 3.2947270429999946,
19
+ "p95": 3.2947270429999946,
20
+ "p99": 3.2947270429999946,
21
  "values": [
22
+ 3.2947270429999946
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.1128671011111163e-05,
29
+ "ram": 4.648273753567398e-07,
30
  "gpu": 0,
31
+ "total": 1.1593498386467903e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 557.080576,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.0181221769999524,
48
+ "mean": 0.08484351474999603,
49
+ "stdev": 0.005539151439285867,
50
+ "p50": 0.08637438399999553,
51
+ "p90": 0.08911271279999369,
52
+ "p95": 0.09205772089999868,
53
+ "p99": 0.0948492841800055,
54
  "values": [
55
+ 0.08611436699999331,
56
+ 0.08725495099997715,
57
+ 0.08613489600000435,
58
+ 0.08761359100000732,
59
+ 0.08661387199998671,
60
+ 0.08830271100001141,
61
+ 0.08920271299999172,
62
+ 0.0955471750000072,
63
+ 0.07989174099998309,
64
+ 0.07685425899998677,
65
+ 0.07681406500000776,
66
+ 0.07777783599999566
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.786404688050087
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 2.990547538888835e-06,
76
+ "ram": 1.2498338192991576e-07,
77
  "gpu": 0.0,
78
+ "total": 3.1155309208187505e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 320972.5807302222
83
  }
84
  }
85
  }