| User | johnalden |
| Upload Date | May 10 2025 03:30 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CyberPowerPC GamingPC |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 UD WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9377
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
17541
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
8593
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18010
292.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27992
453.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16305
265.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
121296
141.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
380372
443.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
110634
129.6 IPS |
|
|
Object Detection (SP)
|
100% |
11235
891.2 IPS |
|
|
Object Detection (HP)
|
100% |
20954
1.66 KIPS |
|
|
Object Detection (Q)
|
83% |
9780
790.2 IPS |
|
|
Face Detection (SP)
|
100% |
30644
364.1 IPS |
|
|
Face Detection (HP)
|
100% |
51461
611.5 IPS |
|
|
Face Detection (Q)
|
97% |
26183
312.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
52850
407.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109554
844.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
42457
338.9 IPS |
|
|
Style Transfer (SP)
|
100% |
168638
216.8 IPS |
|
|
Style Transfer (HP)
|
100% |
577796
742.8 IPS |
|
|
Style Transfer (Q)
|
98% |
147273
189.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32345
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63897
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24447
905.2 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4664
6.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2255
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5450
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6128
105.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2013
37.8 IPS |