| Upload Date | November 21 2025 02:25 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16188
3.01 KIPS |
|
|
Image Classification (HP)
|
100% |
21019
3.91 KIPS |
|
|
Image Classification (Q)
|
100% |
14063
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34964
566.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
43650
707.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
31592
513.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
402306
469.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
962922
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326666
382.6 IPS |
|
|
Object Detection (SP)
|
100% |
22397
1.78 KIPS |
|
|
Object Detection (HP)
|
100% |
28448
2.26 KIPS |
|
|
Object Detection (Q)
|
85% |
18863
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
65404
777.1 IPS |
|
|
Face Detection (HP)
|
100% |
83495
992.1 IPS |
|
|
Face Detection (Q)
|
97% |
52526
626.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
105969
816.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
188192
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76117
609.7 IPS |
|
|
Style Transfer (SP)
|
100% |
587879
755.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1606366
2.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
500185
645.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72278
2.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97223
3.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52512
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
4167
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2451
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6922
119.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6846
117.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2969
55.7 IPS |