| User | chocolateshasha |
| Upload Date | June 07 2025 11:15 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| 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% |
6948
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
11400
2.12 KIPS |
|
|
Image Classification (Q)
|
99% |
5169
964.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11547
187.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16556
268.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9014
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
82809
96.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
239552
279.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
68120
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
8245
654.0 IPS |
|
|
Object Detection (HP)
|
100% |
13500
1.07 KIPS |
|
|
Object Detection (Q)
|
84% |
6373
514.0 IPS |
|
|
Face Detection (SP)
|
100% |
20050
238.2 IPS |
|
|
Face Detection (HP)
|
100% |
32451
385.6 IPS |
|
|
Face Detection (Q)
|
97% |
15260
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
40304
310.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72894
561.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27130
217.3 IPS |
|
|
Style Transfer (SP)
|
100% |
150010
192.8 IPS |
|
|
Style Transfer (HP)
|
100% |
344066
442.3 IPS |
|
|
Style Transfer (Q)
|
98% |
118208
152.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26615
982.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40598
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15387
569.8 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3406
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3933
67.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1509
28.3 IPS |