| User | SidAMDX3D |
| Upload Date | August 01 2025 03:55 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. B650I AORUS ULTRA |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13564
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
19238
3.59 KIPS |
|
|
Image Classification (Q)
|
100% |
11706
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26568
430.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
36052
584.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23960
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
276544
322.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
531018
619.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
236582
277.2 IPS |
|
|
Object Detection (SP)
|
100% |
18906
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
27289
2.16 KIPS |
|
|
Object Detection (Q)
|
85% |
15935
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
57922
688.2 IPS |
|
|
Face Detection (HP)
|
100% |
79665
946.6 IPS |
|
|
Face Detection (Q)
|
97% |
48159
574.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
88570
682.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
157259
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66873
534.0 IPS |
|
|
Style Transfer (SP)
|
100% |
404252
519.7 IPS |
|
|
Style Transfer (HP)
|
100% |
930668
1.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
353650
456.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55343
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75211
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42094
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4163
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2152
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6485
111.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6415
110.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2902
54.4 IPS |