| Upload Date | October 29 2025 07:58 AM |
| Views | 3 |
| 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 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13396
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
19961
3.71 KIPS |
|
|
Image Classification (Q)
|
100% |
11808
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19062
309.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25121
407.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17463
284.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
171421
200.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
627477
732.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
155050
181.6 IPS |
|
|
Object Detection (SP)
|
100% |
16028
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
24876
1.97 KIPS |
|
|
Object Detection (Q)
|
86% |
13246
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
42238
501.9 IPS |
|
|
Face Detection (HP)
|
100% |
58342
693.2 IPS |
|
|
Face Detection (Q)
|
97% |
35605
424.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
81942
631.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
142635
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61890
494.2 IPS |
|
|
Style Transfer (SP)
|
100% |
305957
393.3 IPS |
|
|
Style Transfer (HP)
|
100% |
967151
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
256268
330.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46037
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76106
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35481
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4128
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5129
6.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2323
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5387
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5390
92.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2544
47.7 IPS |