| Upload Date | December 06 2025 08:37 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13649
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
19361
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
11864
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26157
424.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
35658
578.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24059
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
266042
310.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
541014
631.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
235837
276.3 IPS |
|
|
Object Detection (SP)
|
100% |
17487
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
25183
2.00 KIPS |
|
|
Object Detection (Q)
|
85% |
15056
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
52516
624.0 IPS |
|
|
Face Detection (HP)
|
100% |
70754
840.7 IPS |
|
|
Face Detection (Q)
|
97% |
44757
533.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
86914
669.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
160547
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65474
522.9 IPS |
|
|
Style Transfer (SP)
|
100% |
401643
516.3 IPS |
|
|
Style Transfer (HP)
|
100% |
937058
1.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
349585
450.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56872
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78452
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43660
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
4423
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2257
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6669
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6601
113.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2950
55.3 IPS |