| Upload Date | November 26 2025 05:57 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12860
2.39 KIPS |
|
|
Image Classification (HP)
|
100% |
20380
3.79 KIPS |
|
|
Image Classification (Q)
|
100% |
11399
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20060
325.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26457
428.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18178
295.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
169253
197.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
620373
723.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
149507
175.1 IPS |
|
|
Object Detection (SP)
|
100% |
15819
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
24252
1.92 KIPS |
|
|
Object Detection (Q)
|
86% |
13016
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
42269
502.2 IPS |
|
|
Face Detection (HP)
|
100% |
59637
708.6 IPS |
|
|
Face Detection (Q)
|
97% |
36067
430.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
79892
615.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
146927
1.13 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61455
490.7 IPS |
|
|
Style Transfer (SP)
|
100% |
305086
392.2 IPS |
|
|
Style Transfer (HP)
|
100% |
961164
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
250160
322.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45132
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72649
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34979
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5128
6.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2242
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5438
93.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5546
95.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2593
48.6 IPS |