TianBei WTR PRO
Geekbench AI Score
3152
Single Precision Score
4353
Half Precision Score
2256
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 09:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | TianBei WTR PRO |
| Motherboard | TianBei WTR PRO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5825U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1202
223.5 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (Q)
|
99% |
989
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1218
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13258
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
23795
27.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
10657
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (Q)
|
89% |
1119
89.6 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (Q)
|
97% |
2088
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7277
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10582
81.5 IPS |
|
|
Depth Estimation (Q)
|
72% |
5224
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22631
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37344
48.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17423
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4543
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6949
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3037
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
682
913.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (Q)
|
60% |
604
13.6 IPS |
