| User | gethen |
| Upload Date | January 15 2026 06:45 AM |
| Views | 11 |
| 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. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13057
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
19522
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
11501
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25537
414.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
36867
597.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22635
368.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
180333
210.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
683407
797.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
162245
190.0 IPS |
|
|
Object Detection (SP)
|
100% |
16476
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
25238
2.00 KIPS |
|
|
Object Detection (Q)
|
86% |
14078
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
49666
590.1 IPS |
|
|
Face Detection (HP)
|
100% |
71691
851.8 IPS |
|
|
Face Detection (Q)
|
97% |
41620
496.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
86419
665.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
148753
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65466
522.8 IPS |
|
|
Style Transfer (SP)
|
100% |
322496
414.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1012467
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
268967
346.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46236
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76287
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36458
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3784
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6948
119.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6939
119.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3060
57.4 IPS |