Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
b9d70df
·
verified ·
1 Parent(s): 7dd8f93

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json +85 -89
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,105 +2,101 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1026.748416,
6
- "max_global_vram": 2748.55936,
7
- "max_process_vram": 267803.648,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 77,
14
- "total": 1.005843825340271,
15
- "mean": 0.013062906822600922,
16
- "stdev": 0.0005158271595246444,
17
- "p50": 0.01292061996459961,
18
- "p90": 0.013494185829162599,
19
- "p95": 0.013681673622131348,
20
- "p99": 0.015245998001098627,
21
  "values": [
22
- 0.01495853614807129,
23
- 0.013243658065795898,
24
- 0.013378378868103027,
25
- 0.013487017631530762,
26
- 0.013504938125610351,
27
- 0.013479179382324218,
28
- 0.013379978179931641,
29
- 0.013349259376525879,
30
- 0.013257098197937012,
31
- 0.013009738922119141,
32
- 0.012889419555664063,
33
- 0.012874539375305177,
34
- 0.012980459213256836,
35
- 0.013019179344177246,
36
- 0.012888138771057128,
37
- 0.012966059684753417,
38
- 0.013015499114990234,
39
- 0.013394218444824219,
40
- 0.013094538688659669,
41
- 0.013166378974914551,
42
- 0.01291309928894043,
43
- 0.013165099143981934,
44
- 0.012958859443664551,
45
- 0.016156293869018554,
46
- 0.013078378677368165,
47
- 0.012786059379577637,
48
- 0.012691980361938476,
49
- 0.012859498977661133,
50
- 0.01266670036315918,
51
- 0.012919658660888672,
52
- 0.01271757984161377,
53
- 0.012658059120178223,
54
- 0.012621580123901367,
55
- 0.012916778564453125,
56
- 0.01269950008392334,
57
- 0.012735018730163574,
58
- 0.01295453929901123,
59
- 0.012729260444641113,
60
- 0.012689579963684082,
61
- 0.012948458671569824,
62
- 0.012816939353942871,
63
- 0.012950859069824218,
64
- 0.01292061996459961,
65
- 0.012734379768371582,
66
- 0.012717260360717773,
67
- 0.012922219276428223,
68
- 0.012697098731994629,
69
- 0.01273390007019043,
70
- 0.012915498733520507,
71
- 0.012762539863586426,
72
- 0.012754379272460937,
73
- 0.012972938537597655,
74
- 0.012746540069580078,
75
- 0.0127335786819458,
76
- 0.012716460227966308,
77
- 0.012750219345092774,
78
- 0.013044138908386231,
79
- 0.012760780334472656,
80
- 0.012700939178466797,
81
- 0.012734379768371582,
82
- 0.013669577598571778,
83
- 0.013730057716369629,
84
- 0.013482217788696288,
85
- 0.013854537963867188,
86
- 0.01337725830078125,
87
- 0.01339453887939453,
88
- 0.013374378204345703,
89
- 0.01360525894165039,
90
- 0.013593098640441895,
91
- 0.012959979057312011,
92
- 0.012903018951416016,
93
- 0.012700300216674804,
94
- 0.013029739379882813,
95
- 0.01274173927307129,
96
- 0.012752140045166015,
97
- 0.012707497596740723,
98
- 0.012680620193481444
99
  ]
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
- "value": 76.55263974399938
104
  },
105
  "energy": null,
106
  "efficiency": null
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1026.789376,
6
+ "max_global_vram": 2103.222272,
7
+ "max_process_vram": 308167.258112,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 745.087488
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 73,
14
+ "total": 1.0102282466888428,
15
+ "mean": 0.013838743105326614,
16
+ "stdev": 0.0006583561937221686,
17
+ "p50": 0.013646746635437012,
18
+ "p90": 0.01467276496887207,
19
+ "p95": 0.014999966049194334,
20
+ "p99": 0.015418372955322265,
21
  "values": [
22
+ 0.014598909378051758,
23
+ 0.015231071472167968,
24
+ 0.01531363010406494,
25
+ 0.015095870971679687,
26
+ 0.014936029434204101,
27
+ 0.014669309616088868,
28
+ 0.014113147735595704,
29
+ 0.014279707908630371,
30
+ 0.013843387603759765,
31
+ 0.013090585708618164,
32
+ 0.013440506935119629,
33
+ 0.01423554801940918,
34
+ 0.013958106994628907,
35
+ 0.015687711715698244,
36
+ 0.014264987945556641,
37
+ 0.014701309204101563,
38
+ 0.013514745712280273,
39
+ 0.01409666919708252,
40
+ 0.014535069465637207,
41
+ 0.014760828971862794,
42
+ 0.014516828536987304,
43
+ 0.01424914836883545,
44
+ 0.01396130657196045,
45
+ 0.014089147567749023,
46
+ 0.013275865554809571,
47
+ 0.013579227447509766,
48
+ 0.013044666290283204,
49
+ 0.013464027404785157,
50
+ 0.0130133056640625,
51
+ 0.013212185859680176,
52
+ 0.01298210620880127,
53
+ 0.013239546775817871,
54
+ 0.013199706077575684,
55
+ 0.012985786437988282,
56
+ 0.01296146583557129,
57
+ 0.014603549003601075,
58
+ 0.014673628807067872,
59
+ 0.014630108833312989,
60
+ 0.013411066055297852,
61
+ 0.014443388938903809,
62
+ 0.014028827667236328,
63
+ 0.013388986587524415,
64
+ 0.014382908821105957,
65
+ 0.014625788688659668,
66
+ 0.013399706840515137,
67
+ 0.01309570598602295,
68
+ 0.013156346321105957,
69
+ 0.013605627059936523,
70
+ 0.013237626075744628,
71
+ 0.013181305885314942,
72
+ 0.013506107330322266,
73
+ 0.013164345741271972,
74
+ 0.013193145751953125,
75
+ 0.013114107131958009,
76
+ 0.013094745635986327,
77
+ 0.013542746543884277,
78
+ 0.013483707427978515,
79
+ 0.014217308044433594,
80
+ 0.014379549026489257,
81
+ 0.013694586753845215,
82
+ 0.014349148750305176,
83
+ 0.013911706924438477,
84
+ 0.01382498836517334,
85
+ 0.013743706703186035,
86
+ 0.013288986206054688,
87
+ 0.013437947273254395,
88
+ 0.013330905914306641,
89
+ 0.013183707237243653,
90
+ 0.01361026668548584,
91
+ 0.013201306343078614,
92
+ 0.013387065887451172,
93
+ 0.013915388107299805,
94
+ 0.013646746635437012
 
 
 
 
95
  ]
96
  },
97
  "throughput": {
98
  "unit": "samples/s",
99
+ "value": 72.26089771224196
100
  },
101
  "energy": null,
102
  "efficiency": null