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
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "text-classification",
|
9 |
"library": "transformers",
|
@@ -76,14 +76,14 @@
|
|
76 |
"cpu_ram_mb": 16757.342208,
|
77 |
"system": "Linux",
|
78 |
"machine": "x86_64",
|
79 |
-
"platform": "Linux-6.5.0-
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.42.4",
|
85 |
"transformers_commit": null,
|
86 |
-
"accelerate_version": "0.
|
87 |
"accelerate_commit": null,
|
88 |
"diffusers_version": "0.29.2",
|
89 |
"diffusers_commit": null,
|
@@ -99,7 +99,7 @@
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram":
|
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.
|
112 |
-
"mean": 4.
|
113 |
"stdev": 0.0,
|
114 |
-
"p50": 4.
|
115 |
-
"p90": 4.
|
116 |
-
"p95": 4.
|
117 |
-
"p99": 4.
|
118 |
"values": [
|
119 |
-
4.
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
-
"cpu": 4.
|
126 |
-
"ram": 2.
|
127 |
"gpu": 0,
|
128 |
-
"total": 5.
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
-
"max_ram":
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
@@ -140,64 +140,59 @@
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
-
"count":
|
144 |
-
"total": 1.
|
145 |
-
"mean": 0.
|
146 |
-
"stdev": 0.
|
147 |
-
"p50": 0.
|
148 |
-
"p90": 0.
|
149 |
-
"p95": 0.
|
150 |
-
"p99": 0.
|
151 |
"values": [
|
152 |
-
0.
|
153 |
-
0.
|
154 |
-
0.
|
155 |
-
0.
|
156 |
-
0.
|
157 |
-
0.
|
158 |
-
0.
|
159 |
-
0.
|
160 |
-
0.
|
161 |
-
0.
|
162 |
-
0.
|
163 |
-
0.
|
164 |
-
0.
|
165 |
-
0.
|
166 |
-
0.
|
167 |
-
0.
|
168 |
-
0.
|
169 |
-
0.
|
170 |
-
0.
|
171 |
-
0.
|
172 |
-
0.
|
173 |
-
0.
|
174 |
-
0.
|
175 |
-
0.
|
176 |
-
0.
|
177 |
-
0.
|
178 |
-
0.
|
179 |
-
0.
|
180 |
-
0.032681335000006584,
|
181 |
-
0.032275264999952924,
|
182 |
-
0.029205494000052568,
|
183 |
-
0.029377824999983204,
|
184 |
-
0.029680723000012676
|
185 |
]
|
186 |
},
|
187 |
"throughput": {
|
188 |
"unit": "samples/s",
|
189 |
-
"value":
|
190 |
},
|
191 |
"energy": {
|
192 |
"unit": "kWh",
|
193 |
-
"cpu": 1.
|
194 |
-
"ram":
|
195 |
"gpu": 0.0,
|
196 |
-
"total": 1.
|
197 |
},
|
198 |
"efficiency": {
|
199 |
"unit": "samples/kWh",
|
200 |
-
"value":
|
201 |
}
|
202 |
}
|
203 |
}
|
|
|
3 |
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.4.0+cpu",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "text-classification",
|
9 |
"library": "transformers",
|
|
|
76 |
"cpu_ram_mb": 16757.342208,
|
77 |
"system": "Linux",
|
78 |
"machine": "x86_64",
|
79 |
+
"platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
+
"optimum_benchmark_commit": "b0801269b3611e452bb077a62163b08a99ceb2a9",
|
84 |
"transformers_version": "4.42.4",
|
85 |
"transformers_commit": null,
|
86 |
+
"accelerate_version": "0.33.0",
|
87 |
"accelerate_commit": null,
|
88 |
"diffusers_version": "0.29.2",
|
89 |
"diffusers_commit": null,
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 946.757632,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.323723781000012,
|
112 |
+
"mean": 4.323723781000012,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.323723781000012,
|
115 |
+
"p90": 4.323723781000012,
|
116 |
+
"p95": 4.323723781000012,
|
117 |
+
"p99": 4.323723781000012,
|
118 |
"values": [
|
119 |
+
4.323723781000012
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.856773747338189e-05,
|
126 |
+
"ram": 2.029772746200251e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 5.059751021958214e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 954.228736,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
+
"count": 28,
|
144 |
+
"total": 1.0016023750000613,
|
145 |
+
"mean": 0.03577151339285933,
|
146 |
+
"stdev": 0.0012009202301223243,
|
147 |
+
"p50": 0.035923455500011414,
|
148 |
+
"p90": 0.03684090080001283,
|
149 |
+
"p95": 0.03698486219998358,
|
150 |
+
"p99": 0.03821847168996783,
|
151 |
"values": [
|
152 |
+
0.03587814000002254,
|
153 |
+
0.03569901499997741,
|
154 |
+
0.03496999899999764,
|
155 |
+
0.03404766099998824,
|
156 |
+
0.03652564300000449,
|
157 |
+
0.035557920999963244,
|
158 |
+
0.03582958999999164,
|
159 |
+
0.03596877100000029,
|
160 |
+
0.0356541909999919,
|
161 |
+
0.03506414600002472,
|
162 |
+
0.034437160999971184,
|
163 |
+
0.03685386900002641,
|
164 |
+
0.03705539699996052,
|
165 |
+
0.03549194700002545,
|
166 |
+
0.03864864999997053,
|
167 |
+
0.036835343000007015,
|
168 |
+
0.03600408600004812,
|
169 |
+
0.03598173499995028,
|
170 |
+
0.03651958200003946,
|
171 |
+
0.03597425100002738,
|
172 |
+
0.03641235200001347,
|
173 |
+
0.03621639500005358,
|
174 |
+
0.036089666999998826,
|
175 |
+
0.0357534770000143,
|
176 |
+
0.036172531999966395,
|
177 |
+
0.035748357999978,
|
178 |
+
0.034796585000037794,
|
179 |
+
0.03141591100001051
|
|
|
|
|
|
|
|
|
|
|
180 |
]
|
181 |
},
|
182 |
"throughput": {
|
183 |
"unit": "samples/s",
|
184 |
+
"value": 27.955205277941044
|
185 |
},
|
186 |
"energy": {
|
187 |
"unit": "kWh",
|
188 |
+
"cpu": 1.221425293220414e-06,
|
189 |
+
"ram": 5.10452785314186e-08,
|
190 |
"gpu": 0.0,
|
191 |
+
"total": 1.2724705717518328e-06
|
192 |
},
|
193 |
"efficiency": {
|
194 |
"unit": "samples/kWh",
|
195 |
+
"value": 785872.7912452092
|
196 |
}
|
197 |
}
|
198 |
}
|