Commit
•
33236bf
1
Parent(s):
d03d87d
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": "4.44.2",
|
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": 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,
|
@@ -141,55 +141,55 @@
|
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
"count": 25,
|
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 |
]
|
178 |
},
|
179 |
"throughput": {
|
180 |
"unit": "samples/s",
|
181 |
-
"value": 24.
|
182 |
},
|
183 |
"energy": {
|
184 |
"unit": "kWh",
|
185 |
-
"cpu": 1.
|
186 |
-
"ram": 6.
|
187 |
"gpu": 0.0,
|
188 |
-
"total": 1.
|
189 |
},
|
190 |
"efficiency": {
|
191 |
"unit": "samples/kWh",
|
192 |
-
"value":
|
193 |
}
|
194 |
}
|
195 |
}
|
|
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.4.0",
|
83 |
+
"optimum_benchmark_commit": "004348a741507f161e4fae5078d05de404e8b911",
|
84 |
"transformers_version": "4.44.2",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.33.0",
|
|
|
99 |
"load": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
+
"max_ram": 944.41472,
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
|
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
"count": 1,
|
111 |
+
"total": 4.317076073999999,
|
112 |
+
"mean": 4.317076073999999,
|
113 |
"stdev": 0.0,
|
114 |
+
"p50": 4.317076073999999,
|
115 |
+
"p90": 4.317076073999999,
|
116 |
+
"p95": 4.317076073999999,
|
117 |
+
"p99": 4.317076073999999,
|
118 |
"values": [
|
119 |
+
4.317076073999999
|
120 |
]
|
121 |
},
|
122 |
"throughput": null,
|
123 |
"energy": {
|
124 |
"unit": "kWh",
|
125 |
+
"cpu": 4.7176826511109956e-05,
|
126 |
+
"ram": 1.971758124200478e-06,
|
127 |
"gpu": 0,
|
128 |
+
"total": 4.914858463531044e-05
|
129 |
},
|
130 |
"efficiency": null
|
131 |
},
|
132 |
"forward": {
|
133 |
"memory": {
|
134 |
"unit": "MB",
|
135 |
+
"max_ram": 955.424768,
|
136 |
"max_global_vram": null,
|
137 |
"max_process_vram": null,
|
138 |
"max_reserved": null,
|
|
|
141 |
"latency": {
|
142 |
"unit": "s",
|
143 |
"count": 25,
|
144 |
+
"total": 1.0110753219999538,
|
145 |
+
"mean": 0.04044301287999815,
|
146 |
+
"stdev": 0.0006741449014635713,
|
147 |
+
"p50": 0.04043467999997574,
|
148 |
+
"p90": 0.0410633236000308,
|
149 |
+
"p95": 0.041436108799996416,
|
150 |
+
"p99": 0.04221909459998187,
|
151 |
"values": [
|
152 |
+
0.042440490999979374,
|
153 |
+
0.04151800599998978,
|
154 |
+
0.040552489999981844,
|
155 |
+
0.0409369790000369,
|
156 |
+
0.03992920299998559,
|
157 |
+
0.039819269000020086,
|
158 |
+
0.04016210999998293,
|
159 |
+
0.040618353000013485,
|
160 |
+
0.04028158200003418,
|
161 |
+
0.04028909700002714,
|
162 |
+
0.040956875999995646,
|
163 |
+
0.04110852000002296,
|
164 |
+
0.04056660599997031,
|
165 |
+
0.040927410999984204,
|
166 |
+
0.04043467999997574,
|
167 |
+
0.04048992399998497,
|
168 |
+
0.040258049999977175,
|
169 |
+
0.040259803999958876,
|
170 |
+
0.04001966300000959,
|
171 |
+
0.03970528600001444,
|
172 |
+
0.040499700999987454,
|
173 |
+
0.04099552900004255,
|
174 |
+
0.03957927999999811,
|
175 |
+
0.03928925799999661,
|
176 |
+
0.03943715399998382
|
177 |
]
|
178 |
},
|
179 |
"throughput": {
|
180 |
"unit": "samples/s",
|
181 |
+
"value": 24.726149927731242
|
182 |
},
|
183 |
"energy": {
|
184 |
"unit": "kWh",
|
185 |
+
"cpu": 1.557306641333349e-06,
|
186 |
+
"ram": 6.50838093526766e-08,
|
187 |
"gpu": 0.0,
|
188 |
+
"total": 1.6223904506860255e-06
|
189 |
},
|
190 |
"efficiency": {
|
191 |
"unit": "samples/kWh",
|
192 |
+
"value": 616374.4366081244
|
193 |
}
|
194 |
}
|
195 |
}
|