| Upload Date | November 28 2025 04:31 AM |
| Views | 10 |
| 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 24-Cores |
| 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% |
13822
2.57 KIPS |
|
|
Image Classification (HP)
|
99% |
19624
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
11951
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26359
427.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
35874
581.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24251
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
269768
314.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
544451
635.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
235013
275.4 IPS |
|
|
Object Detection (SP)
|
100% |
17763
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
25921
2.06 KIPS |
|
|
Object Detection (Q)
|
85% |
15383
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
52958
629.3 IPS |
|
|
Face Detection (HP)
|
100% |
71456
849.1 IPS |
|
|
Face Detection (Q)
|
97% |
44831
534.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
87442
673.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
160958
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66085
527.7 IPS |
|
|
Style Transfer (SP)
|
100% |
403420
518.6 IPS |
|
|
Style Transfer (HP)
|
100% |
942759
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
355132
457.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57420
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79173
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43698
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
4596
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2293
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6738
116.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6608
113.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2985
56.0 IPS |