| Upload Date | October 25 2025 10:02 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9216
1.71 KIPS |
|
|
Image Classification (HP)
|
99% |
14409
2.69 KIPS |
|
|
Image Classification (Q)
|
99% |
8184
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15454
250.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20800
337.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14056
228.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
111914
130.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
357888
417.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
98616
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
10869
862.1 IPS |
|
|
Object Detection (HP)
|
100% |
17809
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
9507
765.4 IPS |
|
|
Face Detection (SP)
|
100% |
26068
309.7 IPS |
|
|
Face Detection (HP)
|
100% |
42488
504.9 IPS |
|
|
Face Detection (Q)
|
97% |
22981
274.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
53086
409.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98932
762.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
43069
344.9 IPS |
|
|
Style Transfer (SP)
|
100% |
196147
252.2 IPS |
|
|
Style Transfer (HP)
|
100% |
476727
612.8 IPS |
|
|
Style Transfer (Q)
|
98% |
177100
228.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33865
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53850
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25314
937.4 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2055
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4384
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4809
82.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2086
39.1 IPS |