User | rbtree |
Upload Date | July 26 2025 12:24 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3080 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
Base Frequency | 3.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8754
1.63 KIPS |
|
Image Classification (HP)
|
99% |
11941
2.23 KIPS |
|
Image Classification (Q)
|
100% |
5524
1.03 KIPS |
|
Image Segmentation (SP)
|
100% |
13297
215.5 IPS |
|
Image Segmentation (HP)
|
100% |
17521
284.0 IPS |
|
Image Segmentation (Q)
|
98% |
10239
166.5 IPS |
|
Pose Estimation (SP)
|
100% |
134344
156.8 IPS |
|
Pose Estimation (HP)
|
100% |
366298
427.4 IPS |
|
Pose Estimation (Q)
|
97% |
104933
122.9 IPS |
|
Object Detection (SP)
|
100% |
10625
842.7 IPS |
|
Object Detection (HP)
|
100% |
14545
1.15 KIPS |
|
Object Detection (Q)
|
89% |
7412
593.4 IPS |
|
Face Detection (SP)
|
100% |
25775
306.3 IPS |
|
Face Detection (HP)
|
100% |
35378
420.4 IPS |
|
Face Detection (Q)
|
97% |
17654
210.5 IPS |
|
Depth Estimation (SP)
|
100% |
58003
446.9 IPS |
|
Depth Estimation (HP)
|
99% |
94480
727.9 IPS |
|
Depth Estimation (Q)
|
69% |
31116
263.6 IPS |
|
Style Transfer (SP)
|
100% |
238414
306.5 IPS |
|
Style Transfer (HP)
|
100% |
537721
691.2 IPS |
|
Style Transfer (Q)
|
98% |
176709
227.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
34733
1.28 KIPS |
|
Image Super-Resolution (HP)
|
100% |
42779
1.58 KIPS |
|
Image Super-Resolution (Q)
|
99% |
18720
693.2 IPS |
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
Text Classification (HP)
|
99% |
3362
4.49 KIPS |
|
Text Classification (Q)
|
97% |
1393
1.87 KIPS |
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
Machine Translation (HP)
|
100% |
3405
58.7 IPS |
|
Machine Translation (Q)
|
60% |
1204
26.8 IPS |