Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
963927a
•
1 Parent(s): 9865b50

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": 1109.983232,
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": 4.925631541999962,
15
- "mean": 4.925631541999962,
16
  "stdev": 0.0,
17
- "p50": 4.925631541999962,
18
- "p90": 4.925631541999962,
19
- "p95": 4.925631541999962,
20
- "p99": 4.925631541999962,
21
  "values": [
22
- 4.925631541999962
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.702951791666737e-05,
29
- "ram": 2.801657012968834e-06,
30
  "gpu": 0,
31
- "total": 6.983117492963621e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 963.579904,
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": 0.6519403540002031,
48
- "mean": 0.04346269026668021,
49
- "stdev": 0.0023260999843744364,
50
- "p50": 0.043894423000040206,
51
- "p90": 0.04629842640001698,
52
- "p95": 0.04667628710000144,
53
- "p99": 0.047056279020009695,
54
  "values": [
55
- 0.04473934200001395,
56
- 0.046472719999997025,
57
- 0.045755620000022645,
58
- 0.043894423000040206,
59
- 0.04603698600004691,
60
- 0.04715127700001176,
61
- 0.045042298000055325,
62
- 0.04120703400002412,
63
- 0.041516633000014735,
64
- 0.041888387000028615,
65
- 0.04153240199997299,
66
- 0.041061313000000155,
67
- 0.044926863000000594,
68
- 0.04046977699999843,
69
- 0.04024527899997565
70
  ]
71
  },
72
  "throughput": {
73
  "unit": "tokens/s",
74
- "value": 46.016479599590255
75
  },
76
  "energy": {
77
  "unit": "kWh",
78
- "cpu": 1.6627566488425738e-06,
79
- "ram": 6.948811291108177e-08,
80
  "gpu": 0.0,
81
- "total": 1.7322447617536554e-06
82
  },
83
  "efficiency": {
84
  "unit": "tokens/kWh",
85
- "value": 1154571.25006704
86
  }
87
  },
88
  "decode": {
89
  "memory": {
90
  "unit": "MB",
91
- "max_ram": 964.235264,
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": 0.39426829799981533,
101
- "mean": 0.02628455319998769,
102
- "stdev": 0.0012284875161085677,
103
- "p50": 0.02564458800003422,
104
- "p90": 0.028004992599971957,
105
- "p95": 0.028086889599990172,
106
- "p99": 0.0282132379199993,
107
  "values": [
108
- 0.028244825000001583,
109
- 0.02760356800001773,
110
- 0.027130062999958682,
111
- 0.02738348599996243,
112
- 0.027983676999951967,
113
- 0.028019202999985282,
114
- 0.025156244999948285,
115
- 0.025276890999975876,
116
- 0.025637625000001663,
117
- 0.02525835599999482,
118
- 0.025513783999997486,
119
- 0.024951321999992615,
120
- 0.0257228140000052,
121
- 0.02564458800003422,
122
- 0.02474185099998749
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "tokens/s",
127
- "value": 38.04515878171627
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
- "cpu": 9.360649715278024e-07,
132
- "ram": 3.911919284766611e-08,
133
  "gpu": 0.0,
134
- "total": 9.751841643754678e-07
135
  },
136
  "efficiency": {
137
  "unit": "tokens/kWh",
138
- "value": 1025447.3324435337
139
  }
140
  },
141
  "per_token": {
142
  "memory": null,
143
  "latency": {
144
  "unit": "s",
145
- "count": 15,
146
- "total": 0.3878395209998189,
147
- "mean": 0.02585596806665459,
148
- "stdev": 0.0011693736049780907,
149
- "p50": 0.02527260300001899,
150
- "p90": 0.02750290659996608,
151
- "p95": 0.027574833899967642,
152
- "p99": 0.02768629797997278,
153
  "values": [
154
- 0.027714163999974062,
155
- 0.02708010999998578,
156
- 0.026649905999988732,
157
- 0.02691506099995422,
158
- 0.027484584999967865,
159
- 0.027515120999964893,
160
- 0.024764002999972945,
161
- 0.024894828000014968,
162
- 0.02525051199995687,
163
- 0.024880099999961658,
164
- 0.025114768000037202,
165
- 0.024572423999984494,
166
- 0.025350058000014997,
167
- 0.02527260300001899,
168
- 0.02438127800002121
169
  ]
170
  },
171
  "throughput": {
172
  "unit": "tokens/s",
173
- "value": 38.67579034063165
174
  },
175
  "energy": null,
176
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1120.329728,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 5.017070402999991,
15
+ "mean": 5.017070402999991,
16
  "stdev": 0.0,
17
+ "p50": 5.017070402999991,
18
+ "p90": 5.017070402999991,
19
+ "p95": 5.017070402999991,
20
+ "p99": 5.017070402999991,
21
  "values": [
22
+ 5.017070402999991
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.728224047222178e-05,
29
+ "ram": 2.8122199025803335e-06,
30
  "gpu": 0,
31
+ "total": 7.00944603748021e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 974.061568,
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": 0.6606835739999042,
48
+ "mean": 0.05082181338460801,
49
+ "stdev": 0.00118348843917796,
50
+ "p50": 0.050745018999975855,
51
+ "p90": 0.052376879400014786,
52
+ "p95": 0.05250148280000531,
53
+ "p99": 0.052639702159983696,
54
  "values": [
55
+ 0.04951615900000661,
56
+ 0.0508758940000007,
57
+ 0.05048663799999531,
58
+ 0.0488328349999847,
59
+ 0.0526742569999783,
60
+ 0.05238630000002331,
61
+ 0.04905504999999266,
62
+ 0.05033489999999574,
63
+ 0.05167631199998368,
64
+ 0.052339196999980686,
65
+ 0.050607342999967386,
66
+ 0.050745018999975855,
67
+ 0.05115367000001925
 
 
68
  ]
69
  },
70
  "throughput": {
71
  "unit": "tokens/s",
72
+ "value": 39.3531805892964
73
  },
74
  "energy": {
75
  "unit": "kWh",
76
+ "cpu": 1.8056321606061028e-06,
77
+ "ram": 7.545852330396526e-08,
78
  "gpu": 0.0,
79
+ "total": 1.8810906839100681e-06
80
  },
81
  "efficiency": {
82
  "unit": "tokens/kWh",
83
+ "value": 1063212.9631532514
84
  }
85
  },
86
  "decode": {
87
  "memory": {
88
  "unit": "MB",
89
+ "max_ram": 974.716928,
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": 0.39320495200001915,
99
+ "mean": 0.030246534769232242,
100
+ "stdev": 0.0011112364677568942,
101
+ "p50": 0.030108585999983006,
102
+ "p90": 0.03108527659999254,
103
+ "p95": 0.032026009600008364,
104
+ "p99": 0.03303110032001769,
105
  "values": [
106
+ 0.030672646999960307,
107
+ 0.030108585999983006,
108
+ 0.029186296000034417,
109
+ 0.030253605999973843,
110
+ 0.033282373000020016,
111
+ 0.03036757799998213,
112
+ 0.029989742999987357,
113
+ 0.03046646000001374,
114
+ 0.031188434000000598,
115
+ 0.02951857599998675,
116
+ 0.029828453000050104,
117
+ 0.030030740000029255,
118
+ 0.028311459999997624
 
 
119
  ]
120
  },
121
  "throughput": {
122
  "unit": "tokens/s",
123
+ "value": 33.06163855230228
124
  },
125
  "energy": {
126
  "unit": "kWh",
127
+ "cpu": 9.652748879125039e-07,
128
+ "ram": 4.034191692201517e-08,
129
  "gpu": 0.0,
130
+ "total": 1.0056168048345194e-06
131
  },
132
  "efficiency": {
133
  "unit": "tokens/kWh",
134
+ "value": 994414.5674500301
135
  }
136
  },
137
  "per_token": {
138
  "memory": null,
139
  "latency": {
140
  "unit": "s",
141
+ "count": 13,
142
+ "total": 0.3864029629999095,
143
+ "mean": 0.029723304846146884,
144
+ "stdev": 0.001084611536461603,
145
+ "p50": 0.029584508999960235,
146
+ "p90": 0.03052344859999039,
147
+ "p95": 0.03146941699999388,
148
+ "p99": 0.03249196819998815,
149
  "values": [
150
+ 0.030148078999957306,
151
+ 0.029584508999960235,
152
+ 0.028685021999990568,
153
+ 0.02969060699996362,
154
+ 0.03274760599998672,
155
+ 0.029847748999998203,
156
+ 0.029390385999988666,
157
+ 0.029922548000001825,
158
+ 0.03061729099999866,
159
+ 0.02901574999998502,
160
+ 0.029310028000054444,
161
+ 0.029504210000027342,
162
+ 0.0279391779999969
 
 
163
  ]
164
  },
165
  "throughput": {
166
  "unit": "tokens/s",
167
+ "value": 33.64363435278069
168
  },
169
  "energy": null,
170
  "efficiency": null