Upload cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json
CHANGED
|
@@ -80,7 +80,7 @@
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.15",
|
| 82 |
"optimum_benchmark_version": "0.5.0.dev0",
|
| 83 |
-
"optimum_benchmark_commit": "
|
| 84 |
"transformers_version": "4.46.3",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "1.1.1",
|
|
@@ -101,7 +101,7 @@
|
|
| 101 |
"load": {
|
| 102 |
"memory": {
|
| 103 |
"unit": "MB",
|
| 104 |
-
"max_ram":
|
| 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":
|
| 133 |
"max_global_vram": null,
|
| 134 |
"max_process_vram": null,
|
| 135 |
"max_reserved": null,
|
|
@@ -138,34 +138,34 @@
|
|
| 138 |
"latency": {
|
| 139 |
"unit": "s",
|
| 140 |
"values": [
|
| 141 |
-
0.
|
| 142 |
-
0.
|
| 143 |
-
0.
|
| 144 |
],
|
| 145 |
"count": 3,
|
| 146 |
-
"total": 1.
|
| 147 |
-
"mean": 0.
|
| 148 |
-
"p50": 0.
|
| 149 |
-
"p90": 0.
|
| 150 |
-
"p95": 0.
|
| 151 |
-
"p99": 0.
|
| 152 |
-
"stdev": 0.
|
| 153 |
-
"stdev_":
|
| 154 |
},
|
| 155 |
"throughput": {
|
| 156 |
"unit": "samples/s",
|
| 157 |
-
"value": 4.
|
| 158 |
},
|
| 159 |
"energy": {
|
| 160 |
"unit": "kWh",
|
| 161 |
-
"cpu": 1.
|
| 162 |
-
"ram": 7.
|
| 163 |
"gpu": 0.0,
|
| 164 |
-
"total": 1.
|
| 165 |
},
|
| 166 |
"efficiency": {
|
| 167 |
"unit": "samples/kWh",
|
| 168 |
-
"value":
|
| 169 |
}
|
| 170 |
}
|
| 171 |
}
|
|
|
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.15",
|
| 82 |
"optimum_benchmark_version": "0.5.0.dev0",
|
| 83 |
+
"optimum_benchmark_commit": "66c837b53c9420caaed58be9b5b51d16360a0e19",
|
| 84 |
"transformers_version": "4.46.3",
|
| 85 |
"transformers_commit": null,
|
| 86 |
"accelerate_version": "1.1.1",
|
|
|
|
| 101 |
"load": {
|
| 102 |
"memory": {
|
| 103 |
"unit": "MB",
|
| 104 |
+
"max_ram": 825.212928,
|
| 105 |
"max_global_vram": null,
|
| 106 |
"max_process_vram": null,
|
| 107 |
"max_reserved": null,
|
|
|
|
| 110 |
"latency": {
|
| 111 |
"unit": "s",
|
| 112 |
"values": [
|
| 113 |
+
1.1268139969999993
|
| 114 |
],
|
| 115 |
"count": 1,
|
| 116 |
+
"total": 1.1268139969999993,
|
| 117 |
+
"mean": 1.1268139969999993,
|
| 118 |
+
"p50": 1.1268139969999993,
|
| 119 |
+
"p90": 1.1268139969999993,
|
| 120 |
+
"p95": 1.1268139969999993,
|
| 121 |
+
"p99": 1.1268139969999993,
|
| 122 |
"stdev": 0,
|
| 123 |
"stdev_": 0
|
| 124 |
},
|
|
|
|
| 129 |
"forward": {
|
| 130 |
"memory": {
|
| 131 |
"unit": "MB",
|
| 132 |
+
"max_ram": 850.030592,
|
| 133 |
"max_global_vram": null,
|
| 134 |
"max_process_vram": null,
|
| 135 |
"max_reserved": null,
|
|
|
|
| 138 |
"latency": {
|
| 139 |
"unit": "s",
|
| 140 |
"values": [
|
| 141 |
+
0.5204490780000128,
|
| 142 |
+
0.4477377079999769,
|
| 143 |
+
0.4404110889999515
|
| 144 |
],
|
| 145 |
"count": 3,
|
| 146 |
+
"total": 1.4085978749999413,
|
| 147 |
+
"mean": 0.46953262499998044,
|
| 148 |
+
"p50": 0.4477377079999769,
|
| 149 |
+
"p90": 0.5059068040000056,
|
| 150 |
+
"p95": 0.5131779410000092,
|
| 151 |
+
"p99": 0.5189948506000122,
|
| 152 |
+
"stdev": 0.03612740166015509,
|
| 153 |
+
"stdev_": 7.694332563185911
|
| 154 |
},
|
| 155 |
"throughput": {
|
| 156 |
"unit": "samples/s",
|
| 157 |
+
"value": 4.259554913782793
|
| 158 |
},
|
| 159 |
"energy": {
|
| 160 |
"unit": "kWh",
|
| 161 |
+
"cpu": 1.752147837222211e-05,
|
| 162 |
+
"ram": 7.322985639425919e-07,
|
| 163 |
"gpu": 0.0,
|
| 164 |
+
"total": 1.8253776936164702e-05
|
| 165 |
},
|
| 166 |
"efficiency": {
|
| 167 |
"unit": "samples/kWh",
|
| 168 |
+
"value": 109566.36574415266
|
| 169 |
}
|
| 170 |
}
|
| 171 |
}
|