| Upload Date | December 16 2025 09:52 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B850-PLUS WIFI |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10101
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
19058
3.54 KIPS |
|
|
Image Classification (Q)
|
100% |
8948
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18846
305.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
29886
484.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17429
283.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
125316
146.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
417700
487.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
115891
135.7 IPS |
|
|
Object Detection (SP)
|
100% |
12459
988.2 IPS |
|
|
Object Detection (HP)
|
100% |
23968
1.90 KIPS |
|
|
Object Detection (Q)
|
83% |
10718
865.9 IPS |
|
|
Face Detection (SP)
|
100% |
33744
400.9 IPS |
|
|
Face Detection (HP)
|
100% |
58257
692.2 IPS |
|
|
Face Detection (Q)
|
97% |
29013
345.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
56110
432.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
120855
931.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
45402
362.4 IPS |
|
|
Style Transfer (SP)
|
100% |
175542
225.7 IPS |
|
|
Style Transfer (HP)
|
100% |
630015
809.9 IPS |
|
|
Style Transfer (Q)
|
98% |
152821
197.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34652
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67043
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26109
966.8 IPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4660
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2305
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5642
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6350
109.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2119
39.7 IPS |