| Upload Date | October 25 2025 09:17 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | NZXT, Inc. NZXT |
| Motherboard | Gigabyte Technology Co., Ltd. B760 DS3H AX DDR4 |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7110
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
12611
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
6465
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12991
210.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17762
287.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11820
192.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
91742
107.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
258402
301.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
83346
97.7 IPS |
|
|
Object Detection (SP)
|
100% |
9376
743.7 IPS |
|
|
Object Detection (HP)
|
100% |
15978
1.27 KIPS |
|
|
Object Detection (Q)
|
84% |
8300
669.5 IPS |
|
|
Face Detection (SP)
|
100% |
23140
275.0 IPS |
|
|
Face Detection (HP)
|
100% |
35786
425.2 IPS |
|
|
Face Detection (Q)
|
97% |
20520
244.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45562
351.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88053
678.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
37679
301.4 IPS |
|
|
Style Transfer (SP)
|
100% |
150294
193.2 IPS |
|
|
Style Transfer (HP)
|
100% |
363817
467.7 IPS |
|
|
Style Transfer (Q)
|
98% |
137604
177.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29763
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47254
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23018
852.3 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3230
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1936
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2010
37.7 IPS |