| User | tntn |
| Upload Date | November 09 2025 02:49 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9404
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
16460
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
8644
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15898
257.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23400
379.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14746
239.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
122589
143.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
387105
451.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
114755
134.4 IPS |
|
|
Object Detection (SP)
|
100% |
11716
929.3 IPS |
|
|
Object Detection (HP)
|
100% |
20408
1.62 KIPS |
|
|
Object Detection (Q)
|
83% |
10069
813.5 IPS |
|
|
Face Detection (SP)
|
100% |
29530
350.9 IPS |
|
|
Face Detection (HP)
|
100% |
48301
573.9 IPS |
|
|
Face Detection (Q)
|
97% |
25827
307.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
54965
423.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112985
870.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
44143
352.3 IPS |
|
|
Style Transfer (SP)
|
100% |
172343
221.5 IPS |
|
|
Style Transfer (HP)
|
100% |
587666
755.5 IPS |
|
|
Style Transfer (Q)
|
98% |
148852
191.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33288
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62651
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25470
943.1 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4207
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2225
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5115
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5369
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1947
36.5 IPS |