| Upload Date | February 22 2026 11:11 AM |
| Views | 5 |
| 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. ROG STRIX B760-I GAMING WIFI |
| Power Plan | Hj ydeevne |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10640
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
18734
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
9710
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19010
308.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28905
468.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17458
283.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
133178
155.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
423793
494.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
124572
145.9 IPS |
|
|
Object Detection (SP)
|
100% |
12796
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
22593
1.79 KIPS |
|
|
Object Detection (Q)
|
83% |
10887
879.6 IPS |
|
|
Face Detection (SP)
|
100% |
33173
394.2 IPS |
|
|
Face Detection (HP)
|
100% |
52893
628.5 IPS |
|
|
Face Detection (Q)
|
97% |
28966
345.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
59650
459.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
124709
960.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
47889
382.2 IPS |
|
|
Style Transfer (SP)
|
100% |
192443
247.4 IPS |
|
|
Style Transfer (HP)
|
100% |
659667
848.0 IPS |
|
|
Style Transfer (Q)
|
98% |
164694
212.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36695
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70346
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27783
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4950
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5674
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6592
113.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2202
41.3 IPS |