| Upload Date | December 17 2025 01:38 AM |
| Views | 9 |
| 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. Z790 AORUS ELITE X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14728
2.74 KIPS |
|
|
Image Classification (HP)
|
100% |
18336
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
13055
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28444
461.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
34331
556.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
30455
495.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
401144
468.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
960128
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
325029
380.7 IPS |
|
|
Object Detection (SP)
|
100% |
21506
1.71 KIPS |
|
|
Object Detection (HP)
|
100% |
28753
2.28 KIPS |
|
|
Object Detection (Q)
|
85% |
18783
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
66261
787.3 IPS |
|
|
Face Detection (HP)
|
100% |
82870
984.7 IPS |
|
|
Face Detection (Q)
|
97% |
53026
632.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
106408
819.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
184723
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77434
620.2 IPS |
|
|
Style Transfer (SP)
|
100% |
593476
762.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1618532
2.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
499196
643.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71091
2.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89848
3.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51923
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4033
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4601
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2449
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6532
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6191
106.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2970
55.7 IPS |