| User | Zerogreat |
| Upload Date | July 16 2025 12:57 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10633
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
11815
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
9275
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18433
298.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15007
243.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15887
258.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
169081
197.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
307407
358.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
146489
171.6 IPS |
|
|
Object Detection (SP)
|
100% |
10346
820.7 IPS |
|
|
Object Detection (HP)
|
99% |
13213
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
10018
804.6 IPS |
|
|
Face Detection (SP)
|
100% |
35996
427.7 IPS |
|
|
Face Detection (HP)
|
100% |
42821
508.8 IPS |
|
|
Face Detection (Q)
|
97% |
30577
364.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
59104
455.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77446
596.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
51047
409.1 IPS |
|
|
Style Transfer (SP)
|
100% |
290124
373.0 IPS |
|
|
Style Transfer (HP)
|
100% |
461875
593.7 IPS |
|
|
Style Transfer (Q)
|
98% |
246196
317.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31061
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50794
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24476
906.3 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2149
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4918
84.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2566
48.1 IPS |