IlyasMoutawwakil HF staff commited on
Commit
99f66de
·
verified ·
1 Parent(s): b97d581

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": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1025-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": "9ea4940f8d12769fd995efb985434836fb19b72f",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 968.720384,
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": 4.591226559000006,
112
- "mean": 4.591226559000006,
113
  "stdev": 0.0,
114
- "p50": 4.591226559000006,
115
- "p90": 4.591226559000006,
116
- "p95": 4.591226559000006,
117
- "p99": 4.591226559000006,
118
  "values": [
119
- 4.591226559000006
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.161266708888756e-05,
126
- "ram": 2.1570800297278926e-06,
127
  "gpu": 0,
128
- "total": 5.3769747118615455e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 882.659328,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,55 +140,53 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 24,
144
- "total": 1.0154934669999989,
145
- "mean": 0.04231222779166662,
146
- "stdev": 0.0014555478796009838,
147
- "p50": 0.04277063099999623,
148
- "p90": 0.04349264339999763,
149
- "p95": 0.043556696000027276,
150
- "p99": 0.04411647881001329,
151
  "values": [
152
- 0.042728918000022986,
153
- 0.0431392549999714,
154
- 0.04130230399999846,
155
- 0.04356311600002982,
156
- 0.04294294800001808,
157
- 0.043286669999986316,
158
- 0.04215276200000062,
159
- 0.04159156400004349,
160
- 0.04192283200001157,
161
- 0.04342807399996218,
162
- 0.04281234399996947,
163
- 0.04281521800004384,
164
- 0.0419420889999742,
165
- 0.04338585499999681,
166
- 0.042072281999992356,
167
- 0.04339847900001814,
168
- 0.043278173999965475,
169
- 0.043520316000012826,
170
- 0.04194186800003763,
171
- 0.04428176900000835,
172
- 0.04194920300000149,
173
- 0.03759953700000551,
174
- 0.04155530599996382,
175
- 0.03888258399996403
176
  ]
177
  },
178
  "throughput": {
179
  "unit": "samples/s",
180
- "value": 23.633830034280294
181
  },
182
  "energy": {
183
  "unit": "kWh",
184
- "cpu": 1.5269351416666986e-06,
185
- "ram": 6.381252280615664e-08,
186
  "gpu": 0.0,
187
- "total": 1.5907476644728553e-06
188
  },
189
  "efficiency": {
190
  "unit": "samples/kWh",
191
- "value": 628635.214958107
192
  }
193
  }
194
  }
 
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-6.5.0-1025-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": "8e57994b5ce38f2b6b651d101ec502f7ee7fbb9a",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 968.249344,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.592797580000024,
112
+ "mean": 4.592797580000024,
113
  "stdev": 0.0,
114
+ "p50": 4.592797580000024,
115
+ "p90": 4.592797580000024,
116
+ "p95": 4.592797580000024,
117
+ "p99": 4.592797580000024,
118
  "values": [
119
+ 4.592797580000024
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 5.174190945000008e-05,
126
+ "ram": 2.1625839007800562e-06,
127
  "gpu": 0,
128
+ "total": 5.390449335078014e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 882.024448,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 22,
144
+ "total": 1.0212092570000664,
145
+ "mean": 0.04641860259091211,
146
+ "stdev": 0.002008198163401383,
147
+ "p50": 0.047151138500026946,
148
+ "p90": 0.04864222560001963,
149
+ "p95": 0.04869035520001432,
150
+ "p99": 0.04880423356000563,
151
  "values": [
152
+ 0.04865154200001598,
153
+ 0.04787365099997487,
154
+ 0.046193577999986246,
155
+ 0.04855837800005247,
156
+ 0.04835960799999839,
157
+ 0.048692398000014236,
158
+ 0.04746618199999375,
159
+ 0.047000823000018954,
160
+ 0.04682965500001046,
161
+ 0.04883396200000334,
162
+ 0.04730145400003494,
163
+ 0.04807386499999211,
164
+ 0.043470060000004196,
165
+ 0.045288820999985546,
166
+ 0.04762458699997296,
167
+ 0.04427840699997887,
168
+ 0.048195902000031765,
169
+ 0.04459004799997501,
170
+ 0.04366107599997804,
171
+ 0.04358315100000709,
172
+ 0.04335263100000475,
173
+ 0.043329478000032395
 
 
174
  ]
175
  },
176
  "throughput": {
177
  "unit": "samples/s",
178
+ "value": 21.543087128516472
179
  },
180
  "energy": {
181
  "unit": "kWh",
182
+ "cpu": 1.653151534027731e-06,
183
+ "ram": 6.908720631632882e-08,
184
  "gpu": 0.0,
185
+ "total": 1.7222387403440596e-06
186
  },
187
  "efficiency": {
188
  "unit": "samples/kWh",
189
+ "value": 580639.5922787251
190
  }
191
  }
192
  }