| Upload Date | December 03 2025 06:34 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15524
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
20425
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
13496
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33758
547.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
41957
680.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
30598
497.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
392279
457.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
928737
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
318025
372.5 IPS |
|
|
Object Detection (SP)
|
100% |
21177
1.68 KIPS |
|
|
Object Detection (HP)
|
100% |
26822
2.13 KIPS |
|
|
Object Detection (Q)
|
85% |
17669
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
67241
799.0 IPS |
|
|
Face Detection (HP)
|
100% |
85691
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
53113
633.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
100468
774.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
175399
1.35 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73661
590.0 IPS |
|
|
Style Transfer (SP)
|
100% |
568000
730.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1476621
1.90 KIPS |
|
|
Style Transfer (Q)
|
98% |
475619
613.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63790
2.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84849
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47134
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4490
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2162
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6469
111.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6309
108.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2952
55.4 IPS |