| User | temeteus82 |
| Upload Date | May 28 2025 03:55 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12928
2.40 KIPS |
|
|
Image Classification (HP)
|
100% |
12731
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
10370
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22211
360.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17731
287.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17805
289.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
207257
241.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
314321
366.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
166938
195.6 IPS |
|
|
Object Detection (SP)
|
100% |
14232
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
14720
1.17 KIPS |
|
|
Object Detection (Q)
|
87% |
11652
935.8 IPS |
|
|
Face Detection (SP)
|
100% |
40635
482.8 IPS |
|
|
Face Detection (HP)
|
100% |
43818
520.7 IPS |
|
|
Face Detection (Q)
|
97% |
31711
378.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
72403
557.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78302
603.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
54124
434.6 IPS |
|
|
Style Transfer (SP)
|
100% |
364583
468.7 IPS |
|
|
Style Transfer (HP)
|
100% |
487585
626.8 IPS |
|
|
Style Transfer (Q)
|
98% |
289383
373.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41878
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49208
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30212
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2359
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6386
110.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3284
61.6 IPS |