| Upload Date | February 06 2026 09:25 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12544
2.33 KIPS |
|
|
Image Classification (HP)
|
99% |
16946
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
10844
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25429
412.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
33963
550.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22695
369.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
254983
297.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
497166
580.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
221691
259.7 IPS |
|
|
Object Detection (SP)
|
100% |
16108
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
22688
1.80 KIPS |
|
|
Object Detection (Q)
|
85% |
13885
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
49877
592.6 IPS |
|
|
Face Detection (HP)
|
100% |
64431
765.6 IPS |
|
|
Face Detection (Q)
|
97% |
43231
515.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
81434
627.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
150092
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62504
499.1 IPS |
|
|
Style Transfer (SP)
|
100% |
379756
488.2 IPS |
|
|
Style Transfer (HP)
|
100% |
859243
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
337912
435.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52365
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67594
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39291
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3123
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2024
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6016
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5975
102.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2600
48.8 IPS |