| User | chocolateshasha |
| Upload Date | June 07 2025 09:11 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 960 |
| 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% |
1474
274.1 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.7 IPS |
|
|
Image Classification (Q)
|
99% |
1222
227.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1668
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13013
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12558
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11406
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
2011
159.5 IPS |
|
|
Object Detection (Q)
|
83% |
1563
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3693
43.9 IPS |
|
|
Face Detection (Q)
|
97% |
2584
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6752
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7003
54.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5448
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22830
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22588
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18708
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5441
200.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3563
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (Q)
|
97% |
748
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2396
41.4 IPS |
|
|
Machine Translation (Q)
|
70% |
945
17.7 IPS |