IlyasMoutawwakil HF staff commited on
Commit
2b3aed9
1 Parent(s): cc6961b

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": 16757.338112,
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": "ab5cca637c4d04c05b877ae9d59a826198357fda",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 971.399168,
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": 4.397916047000024,
112
- "mean": 4.397916047000024,
113
  "stdev": 0.0,
114
- "p50": 4.397916047000024,
115
- "p90": 4.397916047000024,
116
- "p95": 4.397916047000024,
117
- "p99": 4.397916047000024,
118
  "values": [
119
- 4.397916047000024
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.02980852499999e-05,
126
- "ram": 2.102236478931457e-06,
127
  "gpu": 0,
128
- "total": 5.240032172893136e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 885.088256,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,55 +140,57 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 24,
144
- "total": 1.0315513700000452,
145
- "mean": 0.04298130708333522,
146
- "stdev": 0.0009028429569978538,
147
- "p50": 0.042894956999987244,
148
- "p90": 0.044145938099995875,
149
- "p95": 0.04446887154997796,
150
- "p99": 0.044812917180013866,
151
  "values": [
152
- 0.042882964000000356,
153
- 0.04288242400002673,
154
- 0.04221086000001151,
155
- 0.04290882300000476,
156
- 0.04288746299999957,
157
- 0.04293098400000872,
158
- 0.043030329999965033,
159
- 0.042264821000003394,
160
- 0.04103814300003705,
161
- 0.043910842000002503,
162
- 0.043210406000014245,
163
- 0.0428596309999989,
164
- 0.04290245099997492,
165
- 0.04148991599998908,
166
- 0.04418971199999078,
167
- 0.042382201000009445,
168
- 0.04386057800002163,
169
- 0.04271954000000733,
170
- 0.04288248399996064,
171
- 0.04170387499999606,
172
- 0.0445181349999757,
173
- 0.04490096900002527,
174
- 0.044043799000007766,
175
- 0.04294001900001376
 
 
176
  ]
177
  },
178
  "throughput": {
179
  "unit": "samples/s",
180
- "value": 23.265928094302225
181
  },
182
  "energy": {
183
  "unit": "kWh",
184
- "cpu": 1.4756228796296318e-06,
185
- "ram": 6.166753312221533e-08,
186
  "gpu": 0.0,
187
- "total": 1.5372904127518472e-06
188
  },
189
  "efficiency": {
190
  "unit": "samples/kWh",
191
- "value": 650495.1775572038
192
  }
193
  }
194
  }
 
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": "6d9d5ca2350731ed23f64c0368b5a761377a7dae",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 968.564736,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.304442870000003,
112
+ "mean": 4.304442870000003,
113
  "stdev": 0.0,
114
+ "p50": 4.304442870000003,
115
+ "p90": 4.304442870000003,
116
+ "p95": 4.304442870000003,
117
+ "p99": 4.304442870000003,
118
  "values": [
119
+ 4.304442870000003
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 5.0335704883332576e-05,
126
+ "ram": 2.1038032212110398e-06,
127
  "gpu": 0,
128
+ "total": 5.243950810454362e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 882.253824,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 26,
144
+ "total": 1.0216013239999597,
145
+ "mean": 0.03929235861538306,
146
+ "stdev": 0.0008281655618630179,
147
+ "p50": 0.03934065900000405,
148
+ "p90": 0.04039511050001465,
149
+ "p95": 0.04067845424999916,
150
+ "p99": 0.04129688625002359,
151
  "values": [
152
+ 0.039337173000035364,
153
+ 0.039818045000004076,
154
+ 0.038601013000004514,
155
+ 0.039876594000020305,
156
+ 0.03937175800001569,
157
+ 0.039607159000013326,
158
+ 0.04070207099999834,
159
+ 0.03849428299997726,
160
+ 0.038583098999993126,
161
+ 0.03936211999996431,
162
+ 0.03912838200000124,
163
+ 0.03934414499997274,
164
+ 0.03940906799999766,
165
+ 0.040182617000027676,
166
+ 0.039101040999980796,
167
+ 0.039482446000022264,
168
+ 0.039141174999997475,
169
+ 0.03864536599996882,
170
+ 0.03979081399995721,
171
+ 0.03872011599997904,
172
+ 0.03857470500003046,
173
+ 0.04060760400000163,
174
+ 0.041495158000032006,
175
+ 0.03820960899997772,
176
+ 0.03797672299998567,
177
+ 0.03803904000000102
178
  ]
179
  },
180
  "throughput": {
181
  "unit": "samples/s",
182
+ "value": 25.450241096203815
183
  },
184
  "energy": {
185
  "unit": "kWh",
186
+ "cpu": 1.4895683444444855e-06,
187
+ "ram": 6.22517115603897e-08,
188
  "gpu": 0.0,
189
+ "total": 1.5518200560048751e-06
190
  },
191
  "efficiency": {
192
  "unit": "samples/kWh",
193
+ "value": 644404.6113016976
194
  }
195
  }
196
  }