IlyasMoutawwakil HF staff commited on
Commit
5a7730e
1 Parent(s): 0baa57a

Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json CHANGED
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.346304,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "fb03e751b0ef40eab5568ec0cda0e97fe4e0c070",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 971.579392,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.370535839000013,
112
- "mean": 4.370535839000013,
113
  "stdev": 0.0,
114
- "p50": 4.370535839000013,
115
- "p90": 4.370535839000013,
116
- "p95": 4.370535839000013,
117
- "p99": 4.370535839000013,
118
  "values": [
119
- 4.370535839000013
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.0266967879401323e-05,
126
- "ram": 2.1009245756136842e-06,
127
  "gpu": 0,
128
- "total": 5.236789245501501e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 885.108736,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,54 +140,55 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 23,
144
- "total": 1.0091982019999932,
145
- "mean": 0.04387818269565188,
146
- "stdev": 0.0023198942859010167,
147
- "p50": 0.0448166330000106,
148
- "p90": 0.046118424799982446,
149
- "p95": 0.0463523781999811,
150
- "p99": 0.04637448167999594,
151
  "values": [
152
- 0.04636995299998148,
153
- 0.04529212999997867,
154
- 0.044642387999999755,
155
- 0.045794368000002805,
156
- 0.04619420499997773,
157
- 0.04536174000000415,
158
- 0.0448166330000106,
159
- 0.04399692600000549,
160
- 0.04023294600000327,
161
- 0.040235060000014755,
162
- 0.0414788109999904,
163
- 0.0403563360000021,
164
- 0.04019806100001233,
165
- 0.0457605249999915,
166
- 0.044821232000003874,
167
- 0.04551664900000674,
168
- 0.04581530400000133,
169
- 0.04477519200000302,
170
- 0.04578145100001052,
171
- 0.046375759000000016,
172
- 0.044375347999988435,
173
- 0.040363756999994393,
174
- 0.04064342800000986
 
175
  ]
176
  },
177
  "throughput": {
178
  "unit": "samples/s",
179
- "value": 22.79036957697647
180
  },
181
  "energy": {
182
  "unit": "kWh",
183
- "cpu": 1.5561756557888457e-06,
184
- "ram": 6.503400773775259e-08,
185
  "gpu": 0.0,
186
- "total": 1.6212096635265983e-06
187
  },
188
  "efficiency": {
189
  "unit": "samples/kWh",
190
- "value": 616823.3649833493
191
  }
192
  }
193
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.338112,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "2680e6fb8019f9b6eb6fcaa00b283acdac4d3d3d",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 970.788864,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.4634927969999865,
112
+ "mean": 4.4634927969999865,
113
  "stdev": 0.0,
114
+ "p50": 4.4634927969999865,
115
+ "p90": 4.4634927969999865,
116
+ "p95": 4.4634927969999865,
117
+ "p99": 4.4634927969999865,
118
  "values": [
119
+ 4.4634927969999865
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 5.082547532187568e-05,
126
+ "ram": 2.124206545792049e-06,
127
  "gpu": 0,
128
+ "total": 5.294968186766773e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 884.555776,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 24,
144
+ "total": 1.0032565029999603,
145
+ "mean": 0.04180235429166501,
146
+ "stdev": 0.002024411123369446,
147
+ "p50": 0.040965960499988796,
148
+ "p90": 0.045166639999996504,
149
+ "p95": 0.04555742189999705,
150
+ "p99": 0.046394074309999665,
151
  "values": [
152
+ 0.04097399099998711,
153
+ 0.0398868739999898,
154
+ 0.041156322000006185,
155
+ 0.040746845999990455,
156
+ 0.04045673100000613,
157
+ 0.03996480000000702,
158
+ 0.04012629400000378,
159
+ 0.040147091999983786,
160
+ 0.040452883000000384,
161
+ 0.04662759400000027,
162
+ 0.044980307000002995,
163
+ 0.04561229099999764,
164
+ 0.04442767200001185,
165
+ 0.04291231299998799,
166
+ 0.045246496999993724,
167
+ 0.03999872400001436,
168
+ 0.04012556199998585,
169
+ 0.04239421200000493,
170
+ 0.0410952679999923,
171
+ 0.04003291800000852,
172
+ 0.04081914099998585,
173
+ 0.04095792999999048,
174
+ 0.04176233800001228,
175
+ 0.04235190299999658
176
  ]
177
  },
178
  "throughput": {
179
  "unit": "samples/s",
180
+ "value": 23.922097617343777
181
  },
182
  "energy": {
183
  "unit": "kWh",
184
+ "cpu": 1.5792884826660157e-06,
185
+ "ram": 6.600048912511056e-08,
186
  "gpu": 0.0,
187
+ "total": 1.6452889717911263e-06
188
  },
189
  "efficiency": {
190
  "unit": "samples/kWh",
191
+ "value": 607795.9660249596
192
  }
193
  }
194
  }