| User | chocolateshasha |
| Upload Date | June 08 2025 06:35 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX-W |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX-W |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16493
3.07 KIPS |
|
|
Image Classification (HP)
|
100% |
21504
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
14202
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35016
567.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
44283
717.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31744
516.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
384840
449.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
894304
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
309653
362.7 IPS |
|
|
Object Detection (SP)
|
100% |
22388
1.78 KIPS |
|
|
Object Detection (HP)
|
100% |
28597
2.27 KIPS |
|
|
Object Detection (Q)
|
85% |
18413
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
65770
781.5 IPS |
|
|
Face Detection (HP)
|
100% |
85336
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52819
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
103106
794.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
189679
1.46 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73456
588.4 IPS |
|
|
Style Transfer (SP)
|
100% |
578106
743.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1632115
2.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
480654
619.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72939
2.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97246
3.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50731
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
4315
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5194
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2410
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6972
120.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7059
121.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3004
56.3 IPS |