| Upload Date | November 03 2025 07:08 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B860M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9008
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
15994
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
8246
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17458
283.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26381
427.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16022
260.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
122767
143.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
392173
457.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
113554
133.0 IPS |
|
|
Object Detection (SP)
|
100% |
11321
898.0 IPS |
|
|
Object Detection (HP)
|
100% |
20004
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
9956
804.4 IPS |
|
|
Face Detection (SP)
|
100% |
30133
358.0 IPS |
|
|
Face Detection (HP)
|
100% |
49183
584.4 IPS |
|
|
Face Detection (Q)
|
97% |
26556
316.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54092
416.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113302
872.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
43932
350.7 IPS |
|
|
Style Transfer (SP)
|
100% |
171336
220.3 IPS |
|
|
Style Transfer (HP)
|
100% |
585410
752.6 IPS |
|
|
Style Transfer (Q)
|
98% |
149844
193.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32805
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61010
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25052
927.7 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4317
5.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2057
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5690
98.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2133
40.0 IPS |