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": "0.4.0",
|
83 |
-
"optimum_benchmark_commit": "
|
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":
|
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":
|
127 |
"gpu": 0,
|
128 |
-
"total":
|
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,
|
@@ -140,55 +140,56 @@
|
|
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 |
]
|
177 |
},
|
178 |
"throughput": {
|
179 |
"unit": "samples/s",
|
180 |
-
"value":
|
181 |
},
|
182 |
"energy": {
|
183 |
"unit": "kWh",
|
184 |
-
"cpu": 1.
|
185 |
-
"ram": 6.
|
186 |
"gpu": 0.0,
|
187 |
-
"total": 1.
|
188 |
},
|
189 |
"efficiency": {
|
190 |
"unit": "samples/kWh",
|
191 |
-
"value":
|
192 |
}
|
193 |
}
|
194 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.4.0",
|
83 |
+
"optimum_benchmark_commit": "f58a585c7841c260a82e0bd723177e7f242fbb1f",
|
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": 943.771648,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.366993639000043,
|
112 |
+
"mean": 4.366993639000043,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.366993639000043,
|
115 |
+
"p90": 4.366993639000043,
|
116 |
+
"p95": 4.366993639000043,
|
117 |
+
"p99": 4.366993639000043,
|
118 |
"values": [
|
119 |
+
4.366993639000043
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.721742690000055e-05,
|
126 |
+
"ram": 1.973461340231121e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 4.9190888240231674e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 954.519552,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
140 |
},
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
+
"count": 25,
|
144 |
+
"total": 1.0347938800002225,
|
145 |
+
"mean": 0.0413917552000089,
|
146 |
+
"stdev": 0.0009461321835795648,
|
147 |
+
"p50": 0.04115160300000298,
|
148 |
+
"p90": 0.0421154464000324,
|
149 |
+
"p95": 0.043721351600004246,
|
150 |
+
"p99": 0.044428418320017045,
|
151 |
"values": [
|
152 |
+
0.04138594300002296,
|
153 |
+
0.04100821400004406,
|
154 |
+
0.0412552979999532,
|
155 |
+
0.0412632620000295,
|
156 |
+
0.04058081400000901,
|
157 |
+
0.04097327900001346,
|
158 |
+
0.04215607400004728,
|
159 |
+
0.04452812800002448,
|
160 |
+
0.0410893769999916,
|
161 |
+
0.04075639299998102,
|
162 |
+
0.040588569000021835,
|
163 |
+
0.04119617700001754,
|
164 |
+
0.04110043800000085,
|
165 |
+
0.04115160300000298,
|
166 |
+
0.04069533800003455,
|
167 |
+
0.041470420999985436,
|
168 |
+
0.04149291999999605,
|
169 |
+
0.041347810999980084,
|
170 |
+
0.04104702699999052,
|
171 |
+
0.041195469000001594,
|
172 |
+
0.04205450500001007,
|
173 |
+
0.0441126709999935,
|
174 |
+
0.04076978800003417,
|
175 |
+
0.04076594100001785,
|
176 |
+
0.04080842000001894
|
177 |
]
|
178 |
},
|
179 |
"throughput": {
|
180 |
"unit": "samples/s",
|
181 |
+
"value": 24.15940071079143
|
182 |
},
|
183 |
"energy": {
|
184 |
"unit": "kWh",
|
185 |
+
"cpu": 1.5792021917777552e-06,
|
186 |
+
"ram": 6.599854305589342e-08,
|
187 |
"gpu": 0.0,
|
188 |
+
"total": 1.6452007348336484e-06
|
189 |
},
|
190 |
"efficiency": {
|
191 |
"unit": "samples/kWh",
|
192 |
+
"value": 607828.5639114508
|
193 |
}
|
194 |
}
|
195 |
}
|