Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
2218458
•
1 Parent(s): 7074ca1

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 -37
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": 525.385728,
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": 0.2556596430000013,
15
- "mean": 0.2556596430000013,
16
  "stdev": 0.0,
17
- "p50": 0.2556596430000013,
18
- "p90": 0.2556596430000013,
19
- "p95": 0.2556596430000013,
20
- "p99": 0.2556596430000013,
21
  "values": [
22
- 0.2556596430000013
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.906268827778163e-06,
29
- "ram": 4.138607611415356e-07,
30
  "gpu": 0,
31
- "total": 1.0320129588919698e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 554.31168,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,43 +43,42 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 12,
47
- "total": 1.040511358999936,
48
- "mean": 0.08670927991666133,
49
- "stdev": 0.004669083138286971,
50
- "p50": 0.08789569350000193,
51
- "p90": 0.09155687869999837,
52
- "p95": 0.09274722224998584,
53
- "p99": 0.093639025249974,
54
  "values": [
55
- 0.08905242800000224,
56
- 0.0886253730000135,
57
- 0.08744687799998019,
58
- 0.08834450900002366,
59
- 0.08735114999996085,
60
- 0.08893749300000309,
61
- 0.0871805419999987,
62
- 0.09386197599997104,
63
- 0.09183515099999795,
64
- 0.07891563900000165,
65
- 0.08016091799999003,
66
- 0.07879930199999308
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.532790964947782
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.168571035897481e-06,
76
- "ram": 1.3249383863861e-07,
77
  "gpu": 0.0,
78
- "total": 3.3010648745360913e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 302932.5499519403
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 525.737984,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 0.257359431999987,
15
+ "mean": 0.257359431999987,
16
  "stdev": 0.0,
17
+ "p50": 0.257359431999987,
18
+ "p90": 0.257359431999987,
19
+ "p95": 0.257359431999987,
20
+ "p99": 0.257359431999987,
21
  "values": [
22
+ 0.257359431999987
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.973741166665682e-06,
29
+ "ram": 4.167899666768476e-07,
30
  "gpu": 0,
31
+ "total": 1.039053113334253e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 554.668032,
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": 1.0076678849999894,
48
+ "mean": 0.0916061713636354,
49
+ "stdev": 0.005705120778204075,
50
+ "p50": 0.09316923899999097,
51
+ "p90": 0.09567844199997921,
52
+ "p95": 0.0963762004999893,
53
+ "p99": 0.09693440729999736,
54
  "values": [
55
+ 0.0930065759999934,
56
+ 0.09546212899999773,
57
+ 0.09468420000001743,
58
+ 0.09567844199997921,
59
+ 0.09128994899998588,
60
+ 0.09293580400000678,
61
+ 0.09316923899999097,
62
+ 0.09707395899999938,
63
+ 0.09447092100000987,
64
+ 0.07927000399999429,
65
+ 0.08062666200001445
 
66
  ]
67
  },
68
  "throughput": {
69
  "unit": "samples/s",
70
+ "value": 10.916295104512649
71
  },
72
  "energy": {
73
  "unit": "kWh",
74
+ "cpu": 3.114110715811961e-06,
75
+ "ram": 1.3021832294480663e-07,
76
  "gpu": 0.0,
77
+ "total": 3.2443290387567677e-06
78
  },
79
  "efficiency": {
80
  "unit": "samples/kWh",
81
+ "value": 308230.1419042261
82
  }
83
  }
84
  }