Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
c60586e
·
verified ·
1 Parent(s): eabf1f0

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 -87
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": 1115.889664,
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": 4.620946073000027,
15
- "mean": 4.620946073000027,
16
  "stdev": 0.0,
17
- "p50": 4.620946073000027,
18
- "p90": 4.620946073000027,
19
- "p95": 4.620946073000027,
20
- "p99": 4.620946073000027,
21
  "values": [
22
- 4.620946073000027
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.57689674833326e-05,
29
- "ram": 2.7505308064523977e-06,
30
  "gpu": 0,
31
- "total": 6.851949828978499e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 970.006528,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,50 +44,50 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 14,
47
- "total": 0.6370985749998681,
48
- "mean": 0.04550704107141915,
49
- "stdev": 0.0018927459692914877,
50
- "p50": 0.045806922999986455,
51
- "p90": 0.047100320299978196,
52
- "p95": 0.04725110999997924,
53
- "p99": 0.04733710759997848,
54
  "values": [
55
- 0.04502379699999892,
56
- 0.04735860699997829,
57
- 0.04688353799997458,
58
- 0.04456305400003657,
59
- 0.04719322699997974,
60
- 0.046687960999975076,
61
- 0.04485380799997074,
62
- 0.04509991899999477,
63
- 0.046108868000033,
64
- 0.04566519799999469,
65
- 0.04667706100002533,
66
- 0.04594864799997822,
67
- 0.04560373199996093,
68
- 0.03943115699996724
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
- "value": 43.94924286246566
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
- "cpu": 1.5710198839999648e-06,
78
- "ram": 6.569076706234036e-08,
79
  "gpu": 0.0,
80
- "total": 1.6367106510623051e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
- "value": 1221963.0871845933
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
- "max_ram": 970.006528,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
@@ -96,44 +96,44 @@
96
  "latency": {
97
  "unit": "s",
98
  "count": 14,
99
- "total": 0.3946756090000463,
100
- "mean": 0.028191114928574734,
101
- "stdev": 0.0015413323632763262,
102
- "p50": 0.02871359850001909,
103
- "p90": 0.02927736040001605,
104
- "p95": 0.02944049410002094,
105
- "p99": 0.029672968420017015,
106
  "values": [
107
- 0.029731087000016032,
108
- 0.029214301000024534,
109
- 0.02893654100000731,
110
- 0.028416566999965198,
111
- 0.02919697800001586,
112
- 0.029284021000023586,
113
- 0.02807913499998449,
114
- 0.02871264200001633,
115
- 0.028290590999972665,
116
- 0.0274412709999865,
117
- 0.029261818999998468,
118
- 0.028714555000021846,
119
- 0.02511558700001615,
120
- 0.02428051399999731
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
- "value": 35.47216924671511
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
- "cpu": 9.212544722500128e-07,
130
- "ram": 3.852498416420598e-08,
131
  "gpu": 0.0,
132
- "total": 9.597794564142198e-07
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
- "value": 1041906.0267616542
137
  }
138
  },
139
  "per_token": {
@@ -141,33 +141,33 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
- "total": 0.38850024900011704,
145
- "mean": 0.027750017785722645,
146
- "stdev": 0.001483637883148445,
147
- "p50": 0.0282621735000248,
148
- "p90": 0.028771784099996013,
149
- "p95": 0.028941763500003503,
150
- "p99": 0.02918641830003196,
151
  "values": [
152
- 0.029247582000039074,
153
- 0.028759399000023222,
154
- 0.028511535000006916,
155
- 0.027950814999996965,
156
- 0.028720276000001377,
157
- 0.028749360000006163,
158
- 0.027660571000012624,
159
- 0.028270915000007335,
160
- 0.027781898999990062,
161
- 0.027035340999987056,
162
- 0.02877709199998435,
163
- 0.028253432000042267,
164
- 0.024796890999994048,
165
- 0.023985141000025578
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
- "value": 36.03601293958445
171
  },
172
  "energy": null,
173
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1115.99616,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.884205576999989,
15
+ "mean": 4.884205576999989,
16
  "stdev": 0.0,
17
+ "p50": 4.884205576999989,
18
+ "p90": 4.884205576999989,
19
+ "p95": 4.884205576999989,
20
+ "p99": 4.884205576999989,
21
  "values": [
22
+ 4.884205576999989
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.713829896666744e-05,
29
+ "ram": 2.8077985140536654e-06,
30
  "gpu": 0,
31
+ "total": 6.994609748072111e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 969.457664,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 14,
47
+ "total": 0.6530796290000183,
48
+ "mean": 0.04664854492857273,
49
+ "stdev": 0.0026761363595974763,
50
+ "p50": 0.047904950000003055,
51
+ "p90": 0.049016953099985015,
52
+ "p95": 0.04929085164998526,
53
+ "p99": 0.04960598153000149,
54
  "values": [
55
+ 0.049684764000005543,
56
+ 0.04762940599999865,
57
+ 0.04804710499999487,
58
+ 0.048872772000009945,
59
+ 0.04907874499997433,
60
+ 0.04834948699999586,
61
+ 0.04885417799999914,
62
+ 0.048385525000014695,
63
+ 0.04776279500001124,
64
+ 0.045887472999993406,
65
+ 0.04293998400001442,
66
+ 0.04242910199999983,
67
+ 0.042602635000008604,
68
+ 0.04255565799999772
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
+ "value": 42.87379173481955
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
+ "cpu": 1.6945301164251439e-06,
78
+ "ram": 7.085756908190667e-08,
79
  "gpu": 0.0,
80
+ "total": 1.7653876855070504e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
+ "value": 1132895.6333042306
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
+ "max_ram": 970.244096,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
 
96
  "latency": {
97
  "unit": "s",
98
  "count": 14,
99
+ "total": 0.40459134800002516,
100
+ "mean": 0.0288993820000018,
101
+ "stdev": 0.0017901057925813393,
102
+ "p50": 0.02974874900000657,
103
+ "p90": 0.03062837560000844,
104
+ "p95": 0.030794966400006275,
105
+ "p99": 0.030849131680002414,
106
  "values": [
107
+ 0.03021168099999727,
108
+ 0.03075850900000887,
109
+ 0.030324731000007432,
110
+ 0.029694247000009,
111
+ 0.030235846000010724,
112
+ 0.02980325100000414,
113
+ 0.03086267300000145,
114
+ 0.02969185199998492,
115
+ 0.03020702200001324,
116
+ 0.026684783000007428,
117
+ 0.026035363000005418,
118
+ 0.026746517999981734,
119
+ 0.027177430999984153,
120
+ 0.026157441000009385
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
+ "value": 34.60281607405784
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
+ "cpu": 1.0140022991304237e-06,
130
+ "ram": 4.240070661693674e-08,
131
  "gpu": 0.0,
132
+ "total": 1.0564030057473602e-06
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
+ "value": 946608.4387866186
137
  }
138
  },
139
  "per_token": {
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
+ "total": 0.39786108600003445,
145
+ "mean": 0.02841864900000246,
146
+ "stdev": 0.0017212201633743074,
147
+ "p50": 0.02921290599999793,
148
+ "p90": 0.030085596400016356,
149
+ "p95": 0.03025356020001766,
150
+ "p99": 0.030318504040004086,
151
  "values": [
152
+ 0.029680852000012692,
153
+ 0.030209848000026795,
154
+ 0.029795675999992,
155
+ 0.02914247000001069,
156
+ 0.0297111090000044,
157
+ 0.0292691060000152,
158
+ 0.030334740000000693,
159
+ 0.02915670599998066,
160
+ 0.02967585300001474,
161
+ 0.02630015700000854,
162
+ 0.02559483299998533,
163
+ 0.026399962999988702,
164
+ 0.026798133999989204,
165
+ 0.025791639000004807
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 35.188161126164495
171
  },
172
  "energy": null,
173
  "efficiency": null