| Upload Date | September 16 2024 06:41 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13504
2.51 KIPS |
|
|
Image Classification (HP)
|
99% |
18129
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
11333
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20742
336.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25261
409.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19111
310.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
308202
359.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
521089
608.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
266030
311.5 IPS |
|
|
Object Detection (SP)
|
100% |
17680
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
23118
1.83 KIPS |
|
|
Object Detection (Q)
|
89% |
14436
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
47258
561.5 IPS |
|
|
Face Detection (HP)
|
100% |
56173
667.5 IPS |
|
|
Face Detection (Q)
|
97% |
39600
472.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
91308
703.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
154079
1.19 KIPS |
|
|
Depth Estimation (Q)
|
58% |
50474
529.6 IPS |
|
|
Style Transfer (SP)
|
100% |
552732
710.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1064813
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
469314
605.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59035
2.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78829
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43299
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3776
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4674
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2225
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2114
47.2 IPS |