IlyasMoutawwakil HF staff commited on
Commit
659e803
1 Parent(s): 224fa4e

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/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": "f9307afbd9cb2c4149a7bcc9162c81eec5fa5006",
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": 945.258496,
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": 4.346526928999992,
112
- "mean": 4.346526928999992,
113
  "stdev": 0.0,
114
- "p50": 4.346526928999992,
115
- "p90": 4.346526928999992,
116
- "p95": 4.346526928999992,
117
- "p99": 4.346526928999992,
118
  "values": [
119
- 4.346526928999992
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.838323416111147e-05,
126
- "ram": 2.022188142923771e-06,
127
  "gpu": 0,
128
- "total": 5.0405422304035236e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 953.253888,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,58 +140,63 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 27,
144
- "total": 1.0091855799999507,
145
- "mean": 0.03737724370370188,
146
- "stdev": 0.0009665043292381832,
147
- "p50": 0.03740283499996622,
148
- "p90": 0.03852730679999468,
149
- "p95": 0.03884605709999391,
150
- "p99": 0.0394393665600046,
151
  "values": [
152
- 0.03714619200002289,
153
- 0.03645197400004463,
154
- 0.035981563999996524,
155
- 0.03547816400003967,
156
- 0.037987624999971104,
157
- 0.03740283499996622,
158
- 0.037184776000003694,
159
- 0.03844019199999593,
160
- 0.037626731000045766,
161
- 0.036122189999957754,
162
- 0.03865797899999279,
163
- 0.038926661999994394,
164
- 0.037345636999987164,
165
- 0.03789927999997644,
166
- 0.0378604890000247,
167
- 0.036445794999963255,
168
- 0.03643504399997255,
169
- 0.03784540100002687,
170
- 0.03744850799995447,
171
- 0.037367618000018865,
172
- 0.037603598999965016,
173
- 0.03721990100001449,
174
- 0.03574850100000049,
175
- 0.03688480499999969,
176
- 0.03770468800001936,
177
- 0.03961950600000819,
178
- 0.03834992399998782
 
 
 
 
 
179
  ]
180
  },
181
  "throughput": {
182
  "unit": "samples/s",
183
- "value": 26.75424672635663
184
  },
185
  "energy": {
186
  "unit": "kWh",
187
- "cpu": 1.320016767222188e-06,
188
- "ram": 5.516561146640601e-08,
189
  "gpu": 0.0,
190
- "total": 1.375182378688594e-06
191
  },
192
  "efficiency": {
193
  "unit": "samples/kWh",
194
- "value": 727176.275305115
195
  }
196
  }
197
  }
 
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": "c5b5d4e592cffa01a4a40ea2fa6fc657fea96c19",
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": 946.065408,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.315141745999995,
112
+ "mean": 4.315141745999995,
113
  "stdev": 0.0,
114
+ "p50": 4.315141745999995,
115
+ "p90": 4.315141745999995,
116
+ "p95": 4.315141745999995,
117
+ "p99": 4.315141745999995,
118
  "values": [
119
+ 4.315141745999995
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.895081733888814e-05,
126
+ "ram": 2.0459109935385954e-06,
127
  "gpu": 0,
128
+ "total": 5.099672833242673e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 953.536512,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 32,
144
+ "total": 1.0254903740001282,
145
+ "mean": 0.03204657418750401,
146
+ "stdev": 0.0008438094303454313,
147
+ "p50": 0.031811286499987546,
148
+ "p90": 0.03256668739996371,
149
+ "p95": 0.03285874875000161,
150
+ "p99": 0.034992259930016874,
151
  "values": [
152
+ 0.032688624000002164,
153
+ 0.03238095900002236,
154
+ 0.0324018590000037,
155
+ 0.031665484000029664,
156
+ 0.0311205579999978,
157
+ 0.03166698699999415,
158
+ 0.03160410100002764,
159
+ 0.03168796700003895,
160
+ 0.03220939900000985,
161
+ 0.03178699099998994,
162
+ 0.03158045600002879,
163
+ 0.03132908700001735,
164
+ 0.03222855499996058,
165
+ 0.032572445999960564,
166
+ 0.0317778750000457,
167
+ 0.031256391999988864,
168
+ 0.03129612600002929,
169
+ 0.03137470200005055,
170
+ 0.03163420599997835,
171
+ 0.0317514750000214,
172
+ 0.0319407179999871,
173
+ 0.03251224500002081,
174
+ 0.03251485999999204,
175
+ 0.03231806299999107,
176
+ 0.031767033999983596,
177
+ 0.03183558199998515,
178
+ 0.03204125600001362,
179
+ 0.032455848999973114,
180
+ 0.03585737600002403,
181
+ 0.03096856399997705,
182
+ 0.03306667900000093,
183
+ 0.032197898999982044
184
  ]
185
  },
186
  "throughput": {
187
  "unit": "samples/s",
188
+ "value": 31.20458349616454
189
  },
190
  "energy": {
191
  "unit": "kWh",
192
+ "cpu": 1.2378342204861684e-06,
193
+ "ram": 5.173122897379445e-08,
194
  "gpu": 0.0,
195
+ "total": 1.2895654494599629e-06
196
  },
197
  "efficiency": {
198
  "unit": "samples/kWh",
199
+ "value": 775455.0189125915
200
  }
201
  }
202
  }