| Upload Date | November 30 2025 10:07 PM |
| Views | 5 |
| 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% |
13569
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
19462
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
11758
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26265
425.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
35814
580.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24116
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
263991
308.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
543877
634.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
232139
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
17437
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
25650
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
14999
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
52768
627.0 IPS |
|
|
Face Detection (HP)
|
100% |
70702
840.1 IPS |
|
|
Face Detection (Q)
|
97% |
44460
530.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
86451
666.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
158529
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64957
518.7 IPS |
|
|
Style Transfer (SP)
|
100% |
400285
514.6 IPS |
|
|
Style Transfer (HP)
|
100% |
944591
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
351837
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57026
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78999
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42390
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3657
4.88 KIPS |
|
|
Text Classification (HP)
|
99% |
4495
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2252
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6645
114.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6511
112.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2913
54.6 IPS |