Commit
•
57a5b10
1
Parent(s):
482aa91
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json
CHANGED
@@ -80,7 +80,7 @@
|
|
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": "0.32.1",
|
@@ -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": 1.
|
127 |
"gpu": 0,
|
128 |
-
"total": 4.
|
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,
|
@@ -140,57 +140,55 @@
|
|
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 |
-
0.038362815000027695,
|
177 |
-
0.038608382000006713
|
178 |
]
|
179 |
},
|
180 |
"throughput": {
|
181 |
"unit": "samples/s",
|
182 |
-
"value":
|
183 |
},
|
184 |
"energy": {
|
185 |
"unit": "kWh",
|
186 |
-
"cpu": 1.
|
187 |
-
"ram": 6.
|
188 |
"gpu": 0.0,
|
189 |
-
"total": 1.
|
190 |
},
|
191 |
"efficiency": {
|
192 |
"unit": "samples/kWh",
|
193 |
-
"value":
|
194 |
}
|
195 |
}
|
196 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
+
"optimum_benchmark_commit": "5ae03a669d2c4893dc609854294ec3bac19528a3",
|
84 |
"transformers_version": "4.42.4",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.32.1",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 940.937216,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.22602513999999,
|
112 |
+
"mean": 4.22602513999999,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.22602513999999,
|
115 |
+
"p90": 4.22602513999999,
|
116 |
+
"p95": 4.22602513999999,
|
117 |
+
"p99": 4.22602513999999,
|
118 |
"values": [
|
119 |
+
4.22602513999999
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.719897376166451e-05,
|
126 |
+
"ram": 1.972694098830061e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 4.917166786049457e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 952.85248,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
+
"count": 24,
|
144 |
+
"total": 1.0089499570001408,
|
145 |
+
"mean": 0.04203958154167253,
|
146 |
+
"stdev": 0.002476474457499174,
|
147 |
+
"p50": 0.04317279300002497,
|
148 |
+
"p90": 0.04450071369998341,
|
149 |
+
"p95": 0.04465433774995518,
|
150 |
+
"p99": 0.04521824867996997,
|
151 |
"values": [
|
152 |
+
0.043485672999963754,
|
153 |
+
0.04319303600004787,
|
154 |
+
0.04340393000001086,
|
155 |
+
0.044502633999968566,
|
156 |
+
0.04414537600001722,
|
157 |
+
0.044008771999983765,
|
158 |
+
0.04449623300001804,
|
159 |
+
0.04394927999999254,
|
160 |
+
0.04468110899995281,
|
161 |
+
0.0430140419999816,
|
162 |
+
0.04285320000002457,
|
163 |
+
0.043991159000029256,
|
164 |
+
0.043709201000012854,
|
165 |
+
0.043152550000002066,
|
166 |
+
0.0453786929999751,
|
167 |
+
0.040985488000046644,
|
168 |
+
0.03858478699999068,
|
169 |
+
0.03939278800004331,
|
170 |
+
0.03854856899999959,
|
171 |
+
0.03823736800001143,
|
172 |
+
0.038331663999997545,
|
173 |
+
0.03812929600002235,
|
174 |
+
0.03890239200001133,
|
175 |
+
0.03987271700003703
|
|
|
|
|
176 |
]
|
177 |
},
|
178 |
"throughput": {
|
179 |
"unit": "samples/s",
|
180 |
+
"value": 23.78710642037983
|
181 |
},
|
182 |
"energy": {
|
183 |
"unit": "kWh",
|
184 |
+
"cpu": 1.5049566061068802e-06,
|
185 |
+
"ram": 6.289554454921331e-08,
|
186 |
"gpu": 0.0,
|
187 |
+
"total": 1.5678521506560936e-06
|
188 |
},
|
189 |
"efficiency": {
|
190 |
"unit": "samples/kWh",
|
191 |
+
"value": 637815.2427073774
|
192 |
}
|
193 |
}
|
194 |
}
|