Commit
•
b8b238d
1
Parent(s):
5b3292b
Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json
CHANGED
@@ -79,8 +79,8 @@
|
|
79 |
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.15",
|
82 |
-
"optimum_benchmark_version": "0.5.0",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.45.2",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "1.0.0",
|
@@ -101,7 +101,7 @@
|
|
101 |
"load": {
|
102 |
"memory": {
|
103 |
"unit": "MB",
|
104 |
-
"max_ram": 1164.
|
105 |
"max_global_vram": null,
|
106 |
"max_process_vram": null,
|
107 |
"max_reserved": null,
|
@@ -110,15 +110,15 @@
|
|
110 |
"latency": {
|
111 |
"unit": "s",
|
112 |
"values": [
|
113 |
-
1.
|
114 |
],
|
115 |
"count": 1,
|
116 |
-
"total": 1.
|
117 |
-
"mean": 1.
|
118 |
-
"p50": 1.
|
119 |
-
"p90": 1.
|
120 |
-
"p95": 1.
|
121 |
-
"p99": 1.
|
122 |
"stdev": 0,
|
123 |
"stdev_": 0
|
124 |
},
|
@@ -129,7 +129,7 @@
|
|
129 |
"forward": {
|
130 |
"memory": {
|
131 |
"unit": "MB",
|
132 |
-
"max_ram": 1194.
|
133 |
"max_global_vram": null,
|
134 |
"max_process_vram": null,
|
135 |
"max_reserved": null,
|
@@ -138,38 +138,38 @@
|
|
138 |
"latency": {
|
139 |
"unit": "s",
|
140 |
"values": [
|
141 |
-
0.
|
142 |
-
0.
|
143 |
-
0.
|
144 |
-
0.
|
145 |
-
0.
|
146 |
-
0.
|
147 |
-
0.
|
148 |
],
|
149 |
"count": 7,
|
150 |
-
"total": 1.
|
151 |
-
"mean": 0.
|
152 |
-
"p50": 0.
|
153 |
-
"p90": 0.
|
154 |
-
"p95": 0.
|
155 |
-
"p99": 0.
|
156 |
-
"stdev": 0.
|
157 |
-
"stdev_":
|
158 |
},
|
159 |
"throughput": {
|
160 |
"unit": "samples/s",
|
161 |
-
"value": 6.
|
162 |
},
|
163 |
"energy": {
|
164 |
"unit": "kWh",
|
165 |
-
"cpu": 5.
|
166 |
-
"ram": 2.
|
167 |
"gpu": 0.0,
|
168 |
-
"total": 5.
|
169 |
},
|
170 |
"efficiency": {
|
171 |
"unit": "samples/kWh",
|
172 |
-
"value":
|
173 |
}
|
174 |
}
|
175 |
}
|
|
|
79 |
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.15",
|
82 |
+
"optimum_benchmark_version": "0.5.0.dev0",
|
83 |
+
"optimum_benchmark_commit": "0a6df5b9a995b4bb9aebaf68a47898df52335978",
|
84 |
"transformers_version": "4.45.2",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "1.0.0",
|
|
|
101 |
"load": {
|
102 |
"memory": {
|
103 |
"unit": "MB",
|
104 |
+
"max_ram": 1164.824576,
|
105 |
"max_global_vram": null,
|
106 |
"max_process_vram": null,
|
107 |
"max_reserved": null,
|
|
|
110 |
"latency": {
|
111 |
"unit": "s",
|
112 |
"values": [
|
113 |
+
1.7686233800000082
|
114 |
],
|
115 |
"count": 1,
|
116 |
+
"total": 1.7686233800000082,
|
117 |
+
"mean": 1.7686233800000082,
|
118 |
+
"p50": 1.7686233800000082,
|
119 |
+
"p90": 1.7686233800000082,
|
120 |
+
"p95": 1.7686233800000082,
|
121 |
+
"p99": 1.7686233800000082,
|
122 |
"stdev": 0,
|
123 |
"stdev_": 0
|
124 |
},
|
|
|
129 |
"forward": {
|
130 |
"memory": {
|
131 |
"unit": "MB",
|
132 |
+
"max_ram": 1194.602496,
|
133 |
"max_global_vram": null,
|
134 |
"max_process_vram": null,
|
135 |
"max_reserved": null,
|
|
|
138 |
"latency": {
|
139 |
"unit": "s",
|
140 |
"values": [
|
141 |
+
0.15972909300000993,
|
142 |
+
0.15699660299998186,
|
143 |
+
0.15870573000000832,
|
144 |
+
0.16011386799999627,
|
145 |
+
0.1577678670000182,
|
146 |
+
0.13939966399999548,
|
147 |
+
0.13822387700002992
|
148 |
],
|
149 |
"count": 7,
|
150 |
+
"total": 1.07093670200004,
|
151 |
+
"mean": 0.15299095742857713,
|
152 |
+
"p50": 0.1577678670000182,
|
153 |
+
"p90": 0.15988300300000446,
|
154 |
+
"p95": 0.15999843550000037,
|
155 |
+
"p99": 0.1600907814999971,
|
156 |
+
"stdev": 0.009027346821686183,
|
157 |
+
"stdev_": 5.900575415315342
|
158 |
},
|
159 |
"throughput": {
|
160 |
"unit": "samples/s",
|
161 |
+
"value": 6.536334021354456
|
162 |
},
|
163 |
"energy": {
|
164 |
"unit": "kWh",
|
165 |
+
"cpu": 5.488184104861126e-06,
|
166 |
+
"ram": 2.2949881594826098e-07,
|
167 |
"gpu": 0.0,
|
168 |
+
"total": 5.717682920809387e-06
|
169 |
},
|
170 |
"efficiency": {
|
171 |
"unit": "samples/kWh",
|
172 |
+
"value": 174896.02236607438
|
173 |
}
|
174 |
}
|
175 |
}
|