| Upload Date | August 24 2025 02:17 AM |
| 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 | Balanced |
| 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% |
13596
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
19225
3.59 KIPS |
|
|
Image Classification (Q)
|
100% |
11873
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26191
424.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35645
577.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24223
393.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
265249
309.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
523215
610.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
232442
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
17206
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
24448
1.94 KIPS |
|
|
Object Detection (Q)
|
85% |
15027
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
52137
619.5 IPS |
|
|
Face Detection (HP)
|
100% |
69881
830.3 IPS |
|
|
Face Detection (Q)
|
97% |
44827
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
84944
654.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
157499
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64973
518.9 IPS |
|
|
Style Transfer (SP)
|
100% |
401670
516.4 IPS |
|
|
Style Transfer (HP)
|
100% |
913842
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
352426
454.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56714
2.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77486
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43395
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
4503
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2260
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6707
115.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6568
113.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3002
56.3 IPS |