| User | 7low |
| Upload Date | December 28 2025 02:31 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12561
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
21209
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
11353
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24368
395.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
36598
593.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21800
354.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
189103
220.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
542030
632.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
159381
186.7 IPS |
|
|
Object Detection (SP)
|
100% |
16760
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
27349
2.17 KIPS |
|
|
Object Detection (Q)
|
83% |
14000
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
44800
532.3 IPS |
|
|
Face Detection (HP)
|
100% |
65894
783.0 IPS |
|
|
Face Detection (Q)
|
97% |
37712
449.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
77200
594.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
150830
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60493
482.8 IPS |
|
|
Style Transfer (SP)
|
100% |
260369
334.7 IPS |
|
|
Style Transfer (HP)
|
100% |
893377
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
218422
281.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47044
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88304
3.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36965
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4469
5.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5433
7.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2725
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
7215
124.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7309
125.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3222
60.4 IPS |