Commit
•
995a350
1
Parent(s):
05ad254
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
@@ -79,8 +79,8 @@
|
|
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.
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.43.3",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
@@ -99,7 +99,7 @@
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram": 947.
|
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": 4.
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
-
"max_ram": 955.
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
@@ -140,63 +140,61 @@
|
|
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.
|
181 |
-
0.
|
182 |
-
0.0354506080000192,
|
183 |
-
0.032734699000002365
|
184 |
]
|
185 |
},
|
186 |
"throughput": {
|
187 |
"unit": "samples/s",
|
188 |
-
"value":
|
189 |
},
|
190 |
"energy": {
|
191 |
"unit": "kWh",
|
192 |
-
"cpu": 1.
|
193 |
-
"ram":
|
194 |
"gpu": 0.0,
|
195 |
-
"total": 1.
|
196 |
},
|
197 |
"efficiency": {
|
198 |
"unit": "samples/kWh",
|
199 |
-
"value":
|
200 |
}
|
201 |
}
|
202 |
}
|
|
|
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": "0.4.0",
|
83 |
+
"optimum_benchmark_commit": "3e7bebdc507bc4e37dce5660074b7586de6b39b2",
|
84 |
"transformers_version": "4.43.3",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 947.470336,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.3331466810000165,
|
112 |
+
"mean": 4.3331466810000165,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.3331466810000165,
|
115 |
+
"p90": 4.3331466810000165,
|
116 |
+
"p95": 4.3331466810000165,
|
117 |
+
"p99": 4.3331466810000165,
|
118 |
"values": [
|
119 |
+
4.3331466810000165
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.785924885008071e-05,
|
126 |
+
"ram": 2.0002840173833647e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 4.985953286746407e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 955.727872,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
+
"count": 30,
|
144 |
+
"total": 1.0197446579999223,
|
145 |
+
"mean": 0.03399148859999741,
|
146 |
+
"stdev": 0.001243085006757511,
|
147 |
+
"p50": 0.03419253200002004,
|
148 |
+
"p90": 0.03462751789998038,
|
149 |
+
"p95": 0.035158132650011,
|
150 |
+
"p99": 0.03706773842999837,
|
151 |
"values": [
|
152 |
+
0.03418178200001876,
|
153 |
+
0.035577353999997285,
|
154 |
+
0.03323184499998888,
|
155 |
+
0.03236416099997541,
|
156 |
+
0.03397727899999836,
|
157 |
+
0.034325480999996216,
|
158 |
+
0.03462549199997511,
|
159 |
+
0.03420328200002132,
|
160 |
+
0.033973602999992636,
|
161 |
+
0.033303257999989455,
|
162 |
+
0.032168495000007624,
|
163 |
+
0.03437552399998367,
|
164 |
+
0.03464575100002776,
|
165 |
+
0.034236935999956586,
|
166 |
+
0.033922747000019626,
|
167 |
+
0.03408492099998739,
|
168 |
+
0.033197430000029726,
|
169 |
+
0.03407322800001111,
|
170 |
+
0.03417889700000387,
|
171 |
+
0.03405251100002715,
|
172 |
+
0.034297970000011446,
|
173 |
+
0.03426799299995764,
|
174 |
+
0.034315011999979106,
|
175 |
+
0.037676486999998815,
|
176 |
+
0.034302298000000064,
|
177 |
+
0.03437906099998145,
|
178 |
+
0.034401182999999946,
|
179 |
+
0.03428140899995924,
|
180 |
+
0.03365195100002438,
|
181 |
+
0.029471317000002273
|
|
|
|
|
182 |
]
|
183 |
},
|
184 |
"throughput": {
|
185 |
"unit": "samples/s",
|
186 |
+
"value": 29.41912935228368
|
187 |
},
|
188 |
"energy": {
|
189 |
"unit": "kWh",
|
190 |
+
"cpu": 1.1492544139911927e-06,
|
191 |
+
"ram": 4.802981317248075e-08,
|
192 |
"gpu": 0.0,
|
193 |
+
"total": 1.1972842271636733e-06
|
194 |
},
|
195 |
"efficiency": {
|
196 |
"unit": "samples/kWh",
|
197 |
+
"value": 835223.5645574041
|
198 |
}
|
199 |
}
|
200 |
}
|