| Upload Date | December 13 2025 04:25 AM |
| Views | 11 |
| 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% |
13742
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
19625
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
12033
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26077
422.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
35581
576.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24027
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
269748
314.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
542858
633.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
235389
275.8 IPS |
|
|
Object Detection (SP)
|
100% |
17908
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
25955
2.06 KIPS |
|
|
Object Detection (Q)
|
85% |
15404
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
53175
631.8 IPS |
|
|
Face Detection (HP)
|
100% |
71066
844.4 IPS |
|
|
Face Detection (Q)
|
97% |
45078
537.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
86993
670.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
160524
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66045
527.4 IPS |
|
|
Style Transfer (SP)
|
100% |
403759
519.0 IPS |
|
|
Style Transfer (HP)
|
100% |
938562
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
350887
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57187
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78296
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43689
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
4615
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2283
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6672
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6591
113.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2957
55.5 IPS |