Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
c003859
•
1 Parent(s): 9b7653e

Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json +87 -93
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1116.028928,
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": 4.814876508999987,
15
- "mean": 4.814876508999987,
16
  "stdev": 0.0,
17
- "p50": 4.814876508999987,
18
- "p90": 4.814876508999987,
19
- "p95": 4.814876508999987,
20
- "p99": 4.814876508999987,
21
  "values": [
22
- 4.814876508999987
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.846690421666513e-05,
29
- "ram": 2.8633642039031983e-06,
30
  "gpu": 0,
31
- "total": 7.133026842056833e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 970.539008,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,52 +43,50 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 15,
47
- "total": 0.6201422539999157,
48
- "mean": 0.04134281693332772,
49
- "stdev": 0.0010733809573692061,
50
- "p50": 0.041242076999992605,
51
- "p90": 0.04244932939996034,
52
- "p95": 0.04331422849996897,
53
- "p99": 0.04406073369998239,
54
  "values": [
55
- 0.041096185000014884,
56
- 0.04175185099995815,
57
- 0.04135164199999508,
58
- 0.04074206199999253,
59
- 0.041242076999992605,
60
- 0.04424735999998575,
61
- 0.041428756000016165,
62
- 0.040881582999986676,
63
- 0.041361219999998866,
64
- 0.040745286999992913,
65
- 0.04291431499996179,
66
- 0.041089572000032604,
67
- 0.04172678399999086,
68
- 0.03954280800002152,
69
- 0.040020751999975346
70
  ]
71
  },
72
  "throughput": {
73
  "unit": "tokens/s",
74
- "value": 48.37599729175054
75
  },
76
  "energy": {
77
  "unit": "kWh",
78
- "cpu": 1.5679861228888337e-06,
79
- "ram": 6.556599625065969e-08,
80
  "gpu": 0.0,
81
- "total": 1.6335521191394934e-06
82
  },
83
  "efficiency": {
84
  "unit": "tokens/kWh",
85
- "value": 1224325.7968735888
86
  }
87
  },
88
  "decode": {
89
  "memory": {
90
  "unit": "MB",
91
- "max_ram": 970.67008,
92
  "max_global_vram": null,
93
  "max_process_vram": null,
94
  "max_reserved": null,
@@ -96,81 +94,77 @@
96
  },
97
  "latency": {
98
  "unit": "s",
99
- "count": 15,
100
- "total": 0.38401174200015475,
101
- "mean": 0.025600782800010317,
102
- "stdev": 0.0007623150754293947,
103
- "p50": 0.02553722499999367,
104
- "p90": 0.026042268800028977,
105
- "p95": 0.026801063400023393,
106
- "p99": 0.02780299187999617,
107
  "values": [
108
- 0.025646489999985533,
109
- 0.025303829000051792,
110
- 0.025385701999994126,
111
- 0.02560024400003158,
112
- 0.02555299499999819,
113
- 0.02553722499999367,
114
- 0.025505076000001736,
115
- 0.025379060000034315,
116
- 0.025641531000019313,
117
- 0.025709198000015476,
118
- 0.025143469999989065,
119
- 0.028053473999989365,
120
- 0.02470963700000084,
121
- 0.024579495000011775,
122
- 0.02626431600003798
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "tokens/s",
127
- "value": 39.06130557849961
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
- "cpu": 9.437625760694971e-07,
132
- "ram": 3.946541813016547e-08,
133
  "gpu": 0.0,
134
- "total": 9.832279941996623e-07
135
  },
136
  "efficiency": {
137
  "unit": "tokens/kWh",
138
- "value": 1017058.1044267255
139
  }
140
  },
141
  "per_token": {
142
  "memory": null,
143
  "latency": {
144
  "unit": "s",
145
- "count": 15,
146
- "total": 0.3785409970000728,
147
- "mean": 0.025236066466671522,
148
- "stdev": 0.0007315414621097963,
149
- "p50": 0.0251643380000246,
150
- "p90": 0.02570144500002698,
151
- "p95": 0.026428019300016103,
152
- "p99": 0.027335063059982758,
153
  "values": [
154
- 0.025297456999965107,
155
- 0.02494231299999683,
156
- 0.025053690999982337,
157
- 0.025254678000010244,
158
- 0.02519698899999412,
159
- 0.025053520999961165,
160
- 0.0251643380000246,
161
- 0.025028624000015043,
162
- 0.025272931000017707,
163
- 0.025340458000016497,
164
- 0.024814184000035766,
165
- 0.027561823999974422,
166
- 0.024351407000040126,
167
- 0.024266479000004892,
168
- 0.025942103000033967
169
  ]
170
  },
171
  "throughput": {
172
  "unit": "tokens/s",
173
- "value": 39.625826842731946
174
  },
175
  "energy": null,
176
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1115.799552,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 5.080164236000002,
15
+ "mean": 5.080164236000002,
16
  "stdev": 0.0,
17
+ "p50": 5.080164236000002,
18
+ "p90": 5.080164236000002,
19
+ "p95": 5.080164236000002,
20
+ "p99": 5.080164236000002,
21
  "values": [
22
+ 5.080164236000002
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.835513136666676e-05,
29
+ "ram": 2.8586631659917485e-06,
30
  "gpu": 0,
31
+ "total": 7.121379453265851e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 970.309632,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 13,
47
+ "total": 0.6451867840000318,
48
+ "mean": 0.04962975261538706,
49
+ "stdev": 0.002892054367753052,
50
+ "p50": 0.04934184500001493,
51
+ "p90": 0.05149146720000317,
52
+ "p95": 0.054372513000009795,
53
+ "p99": 0.05749038420002079,
54
  "values": [
55
+ 0.04953226899999663,
56
+ 0.04889412199997878,
57
+ 0.04927997999999434,
58
+ 0.04934184500001493,
59
+ 0.050186165000013716,
60
+ 0.04770754700001589,
61
+ 0.04688375599999972,
62
+ 0.04946217899998828,
63
+ 0.05177428700000064,
64
+ 0.050360188000013295,
65
+ 0.04677732800001877,
66
+ 0.05826985200002355,
67
+ 0.04671726599997328
 
 
68
  ]
69
  },
70
  "throughput": {
71
  "unit": "tokens/s",
72
+ "value": 40.298407600362005
73
  },
74
  "energy": {
75
  "unit": "kWh",
76
+ "cpu": 1.8536916111110537e-06,
77
+ "ram": 7.75109941629869e-08,
78
  "gpu": 0.0,
79
+ "total": 1.931202605274041e-06
80
  },
81
  "efficiency": {
82
  "unit": "tokens/kWh",
83
+ "value": 1035624.1207101089
84
  }
85
  },
86
  "decode": {
87
  "memory": {
88
  "unit": "MB",
89
+ "max_ram": 970.440704,
90
  "max_global_vram": null,
91
  "max_process_vram": null,
92
  "max_reserved": null,
 
94
  },
95
  "latency": {
96
  "unit": "s",
97
+ "count": 13,
98
+ "total": 0.38809977699997944,
99
+ "mean": 0.02985382899999842,
100
+ "stdev": 0.0031697946284757034,
101
+ "p50": 0.02919530299999451,
102
+ "p90": 0.030354810400012866,
103
+ "p95": 0.03442586639998807,
104
+ "p99": 0.03922360127995488,
105
  "values": [
106
+ 0.030063036000001375,
107
+ 0.029519767000010688,
108
+ 0.029484521000028963,
109
+ 0.02965330499995389,
110
+ 0.028565833000016028,
111
+ 0.028333450999980414,
112
+ 0.028698510000026545,
113
+ 0.02919530299999451,
114
+ 0.03042775400001574,
115
+ 0.028505681000012828,
116
+ 0.040423034999946594,
117
+ 0.02819198800000322,
118
+ 0.027037592999988647
 
 
119
  ]
120
  },
121
  "throughput": {
122
  "unit": "tokens/s",
123
+ "value": 33.49654076199247
124
  },
125
  "energy": {
126
  "unit": "kWh",
127
+ "cpu": 1.1084730805556045e-06,
128
+ "ram": 4.634848457483291e-08,
129
  "gpu": 0.0,
130
+ "total": 1.1548215651304377e-06
131
  },
132
  "efficiency": {
133
  "unit": "tokens/kWh",
134
+ "value": 865934.6432338657
135
  }
136
  },
137
  "per_token": {
138
  "memory": null,
139
  "latency": {
140
  "unit": "s",
141
+ "count": 13,
142
+ "total": 0.3820131319999973,
143
+ "mean": 0.029385625538461333,
144
+ "stdev": 0.003048158333005198,
145
+ "p50": 0.028731059999984154,
146
+ "p90": 0.029780422399994677,
147
+ "p95": 0.03370724239998707,
148
+ "p99": 0.03838084927998351,
149
  "values": [
150
+ 0.0296518320000132,
151
+ 0.02909040899999127,
152
+ 0.02905660600004012,
153
+ 0.029226370999992923,
154
+ 0.028168304000018907,
155
+ 0.027915583999970295,
156
+ 0.028304187000003367,
157
+ 0.028731059999984154,
158
+ 0.029812569999990046,
159
+ 0.02808371700001544,
160
+ 0.03954925099998263,
161
+ 0.027770583999995324,
162
+ 0.026652656999999635
 
 
163
  ]
164
  },
165
  "throughput": {
166
  "unit": "tokens/s",
167
+ "value": 34.03024375612326
168
  },
169
  "energy": null,
170
  "efficiency": null