IlyasMoutawwakil HF staff commited on
Commit
c37205a
1 Parent(s): 7fdbd3b

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": 16766.7712,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "a3e25e2e7229ba1e55a72075d7d45c46907c5f56",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 964.018176,
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": 4.373094266999999,
112
- "mean": 4.373094266999999,
113
  "stdev": 0.0,
114
- "p50": 4.373094266999999,
115
- "p90": 4.373094266999999,
116
- "p95": 4.373094266999999,
117
- "p99": 4.373094266999999,
118
  "values": [
119
- 4.373094266999999
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 5.068783163888893e-05,
126
- "ram": 2.1197204392111923e-06,
127
  "gpu": 0,
128
- "total": 5.2807552078100125e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 878.034944,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -141,53 +141,53 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 23,
144
- "total": 1.0237919290000548,
145
- "mean": 0.04451269256521977,
146
- "stdev": 0.0007836056835637576,
147
- "p50": 0.044500693000003366,
148
- "p90": 0.045579574200019124,
149
- "p95": 0.0456637574000041,
150
- "p99": 0.04597771944001238,
151
  "values": [
152
- 0.04461482700000374,
153
- 0.046065587000015285,
154
- 0.044044286000001875,
155
- 0.04566618900000208,
156
- 0.04404147200000352,
157
- 0.043963634999983014,
158
- 0.04499476000000868,
159
- 0.043157282999999325,
160
- 0.0431541270000082,
161
- 0.045286946999993916,
162
- 0.044085694000017384,
163
- 0.044398471000022255,
164
- 0.04400995299999977,
165
- 0.044689526999974305,
166
- 0.043381753999995,
167
- 0.044436351999991075,
168
- 0.04485580799999411,
169
- 0.044500693000003366,
170
- 0.04356576899999709,
171
- 0.04533037900000636,
172
- 0.045641873000022315,
173
- 0.04498594300000036,
174
- 0.044920600000011746
175
  ]
176
  },
177
  "throughput": {
178
  "unit": "samples/s",
179
- "value": 22.465502362832915
180
  },
181
  "energy": {
182
  "unit": "kWh",
183
- "cpu": 1.5254888190170726e-06,
184
- "ram": 6.378698606835385e-08,
185
  "gpu": 0.0,
186
- "total": 1.5892758050854264e-06
187
  },
188
  "efficiency": {
189
  "unit": "samples/kWh",
190
- "value": 629217.4063181238
191
  }
192
  }
193
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16766.767104,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "133b3e1f0b6eadebe8382f2e06a0a3f0fdd891de",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.2",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 964.395008,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.357268836999992,
112
+ "mean": 4.357268836999992,
113
  "stdev": 0.0,
114
+ "p50": 4.357268836999992,
115
+ "p90": 4.357268836999992,
116
+ "p95": 4.357268836999992,
117
+ "p99": 4.357268836999992,
118
  "values": [
119
+ 4.357268836999992
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 5.065199350555582e-05,
126
+ "ram": 2.1181809276663077e-06,
127
  "gpu": 0,
128
+ "total": 5.277017443322212e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 878.411776,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 23,
144
+ "total": 1.006871565999802,
145
+ "mean": 0.04377702460868704,
146
+ "stdev": 0.0005845189334827909,
147
+ "p50": 0.043813989999989644,
148
+ "p90": 0.04437578839996377,
149
+ "p95": 0.04464103710001836,
150
+ "p99": 0.0450219419400321,
151
  "values": [
152
+ 0.04387980299998162,
153
+ 0.04419511200001125,
154
+ 0.04266626499997983,
155
+ 0.04407403599998361,
156
+ 0.04384645999999748,
157
+ 0.04338216299998976,
158
+ 0.043830290999949284,
159
+ 0.04374316799999178,
160
+ 0.04264558599999191,
161
+ 0.04512122200003432,
162
+ 0.043500153000024966,
163
+ 0.0433588789999817,
164
+ 0.044251746999975694,
165
+ 0.04326020500002414,
166
+ 0.04313120399996251,
167
+ 0.04356852099999742,
168
+ 0.04417939199998955,
169
+ 0.04372113599998784,
170
+ 0.043295832000012524,
171
+ 0.043813989999989644,
172
+ 0.04435562199995502,
173
+ 0.04466994900002419,
174
+ 0.044380829999965954
175
  ]
176
  },
177
  "throughput": {
178
  "unit": "samples/s",
179
+ "value": 22.84303259389542
180
  },
181
  "energy": {
182
  "unit": "kWh",
183
+ "cpu": 1.4851840989712456e-06,
184
+ "ram": 6.210294340058248e-08,
185
  "gpu": 0.0,
186
+ "total": 1.5472870423718282e-06
187
  },
188
  "efficiency": {
189
  "unit": "samples/kWh",
190
+ "value": 646292.4929992985
191
  }
192
  }
193
  }