IlyasMoutawwakil HF staff commited on
Commit
a6caef4
1 Parent(s): 3c997d5

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": "3.10.15",
82
  "optimum_benchmark_version": "0.5.0.dev0",
83
- "optimum_benchmark_commit": "22a6f3b2a99a5a143a8dca22ee7b35a1943f94ee",
84
  "transformers_version": "4.46.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "1.1.1",
@@ -101,7 +101,7 @@
101
  "load_model": {
102
  "memory": {
103
  "unit": "MB",
104
- "max_ram": 989.278208,
105
  "max_global_vram": null,
106
  "max_process_vram": null,
107
  "max_reserved": null,
@@ -110,32 +110,32 @@
110
  "latency": {
111
  "unit": "s",
112
  "values": [
113
- 1.4579055470000242
114
  ],
115
  "count": 1,
116
- "total": 1.4579055470000242,
117
- "mean": 1.4579055470000242,
118
- "p50": 1.4579055470000242,
119
- "p90": 1.4579055470000242,
120
- "p95": 1.4579055470000242,
121
- "p99": 1.4579055470000242,
122
  "stdev": 0,
123
  "stdev_": 0
124
  },
125
  "throughput": null,
126
  "energy": {
127
  "unit": "kWh",
128
- "cpu": 0.00018609946627222218,
129
- "ram": 7.77902499368955e-06,
130
  "gpu": 0,
131
- "total": 0.00019387849126591172
132
  },
133
  "efficiency": null
134
  },
135
  "forward": {
136
  "memory": {
137
  "unit": "MB",
138
- "max_ram": 926.294016,
139
  "max_global_vram": null,
140
  "max_process_vram": null,
141
  "max_reserved": null,
@@ -144,42 +144,43 @@
144
  "latency": {
145
  "unit": "s",
146
  "values": [
147
- 0.14515421499999093,
148
- 0.14617504399998893,
149
- 0.0921318519999943,
150
- 0.08775106600000981,
151
- 0.08911890599998173,
152
- 0.08911954600000627,
153
- 0.08957333800000811,
154
- 0.08429649600000744,
155
- 0.0807874249999827,
156
- 0.08045282400001952,
157
- 0.08072204100000135
 
158
  ],
159
- "count": 11,
160
- "total": 1.065282752999991,
161
- "mean": 0.09684388663636283,
162
- "p50": 0.08911890599998173,
163
- "p90": 0.14515421499999093,
164
- "p95": 0.14566462949998993,
165
- "p99": 0.14607296109998913,
166
- "stdev": 0.023332308901998784,
167
- "stdev_": 24.09270188588032
168
  },
169
  "throughput": {
170
  "unit": "samples/s",
171
- "value": 20.651794031251143
172
  },
173
  "energy": {
174
  "unit": "kWh",
175
- "cpu": 3.431968668981531e-06,
176
- "ram": 1.4342681165998717e-07,
177
  "gpu": 0.0,
178
- "total": 3.575395480641518e-06
179
  },
180
  "efficiency": {
181
  "unit": "samples/kWh",
182
- "value": 559378.678758398
183
  }
184
  }
185
  }
 
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": "3.10.15",
82
  "optimum_benchmark_version": "0.5.0.dev0",
83
+ "optimum_benchmark_commit": "17045002796df75ed197bda920a26aaf713b8c33",
84
  "transformers_version": "4.46.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "1.1.1",
 
101
  "load_model": {
102
  "memory": {
103
  "unit": "MB",
104
+ "max_ram": 990.8224,
105
  "max_global_vram": null,
106
  "max_process_vram": null,
107
  "max_reserved": null,
 
110
  "latency": {
111
  "unit": "s",
112
  "values": [
113
+ 1.4520459250000215
114
  ],
115
  "count": 1,
116
+ "total": 1.4520459250000215,
117
+ "mean": 1.4520459250000215,
118
+ "p50": 1.4520459250000215,
119
+ "p90": 1.4520459250000215,
120
+ "p95": 1.4520459250000215,
121
+ "p99": 1.4520459250000215,
122
  "stdev": 0,
123
  "stdev_": 0
124
  },
125
  "throughput": null,
126
  "energy": {
127
  "unit": "kWh",
128
+ "cpu": 0.00018611949646111018,
129
+ "ram": 7.779856028369381e-06,
130
  "gpu": 0,
131
+ "total": 0.00019389935248947956
132
  },
133
  "efficiency": null
134
  },
135
  "forward": {
136
  "memory": {
137
  "unit": "MB",
138
+ "max_ram": 925.294592,
139
  "max_global_vram": null,
140
  "max_process_vram": null,
141
  "max_reserved": null,
 
144
  "latency": {
145
  "unit": "s",
146
  "values": [
147
+ 0.08947299999999814,
148
+ 0.09031018600001062,
149
+ 0.08840711599998485,
150
+ 0.08678661600001192,
151
+ 0.08995165599998245,
152
+ 0.08789990999997599,
153
+ 0.08966975000001298,
154
+ 0.08864046499999745,
155
+ 0.08876936700002602,
156
+ 0.08929269600000111,
157
+ 0.08932021999999051,
158
+ 0.0790199210000253
159
  ],
160
+ "count": 12,
161
+ "total": 1.0575409030000174,
162
+ "mean": 0.08812840858333477,
163
+ "p50": 0.08903103150001357,
164
+ "p90": 0.0899234653999855,
165
+ "p95": 0.09011299449999513,
166
+ "p99": 0.09027074770000752,
167
+ "stdev": 0.0028955698230899293,
168
+ "stdev_": 3.285625906147914
169
  },
170
  "throughput": {
171
  "unit": "samples/s",
172
+ "value": 22.6941576745799
173
  },
174
  "energy": {
175
  "unit": "kWh",
176
+ "cpu": 3.4763967745370323e-06,
177
+ "ram": 1.4528339748369271e-07,
178
  "gpu": 0.0,
179
+ "total": 3.6216801720207257e-06
180
  },
181
  "efficiency": {
182
  "unit": "samples/kWh",
183
+ "value": 552229.878124245
184
  }
185
  }
186
  }