| User | vschleper |
| Upload Date | March 03 2025 07:28 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 7970X 32-Cores |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14010
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
18262
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
11830
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22632
366.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28058
454.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21338
347.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
303489
354.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
530738
619.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
264458
309.9 IPS |
|
|
Object Detection (SP)
|
100% |
18876
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
24136
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
15861
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
52217
620.5 IPS |
|
|
Face Detection (HP)
|
100% |
64851
770.6 IPS |
|
|
Face Detection (Q)
|
97% |
43473
518.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
98068
755.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
158402
1.22 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71292
570.2 IPS |
|
|
Style Transfer (SP)
|
100% |
561668
722.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1079620
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
478015
616.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59861
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78878
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44520
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4381
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2143
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5315
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5193
89.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2456
46.1 IPS |