TianBei WTR PRO
Geekbench ML Score
2394
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 04:13 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | TianBei WTR PRO |
| Motherboard | TianBei WTR PRO |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1042
194.9 IPS |
|
|
Image Classification (F16)
|
100% |
1038
194.1 IPS |
|
|
Image Classification (I8)
|
99% |
864
161.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1256
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1284
21.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1080
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10631
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
10692
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
8449
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
995
74.2 IPS |
|
|
Object Detection (F16)
|
100% |
1027
76.7 IPS |
|
|
Object Detection (I8)
|
67% |
916
68.4 IPS |
|
|
Face Detection (F32)
|
100% |
2419
28.8 IPS |
|
|
Face Detection (F16)
|
100% |
2461
29.3 IPS |
|
|
Face Detection (I8)
|
89% |
1855
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6252
48.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5983
46.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
4821
37.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20044
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
19827
26.1 IPS |
|
|
Style Transfer (I8)
|
98% |
15221
20.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3761
134.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3777
134.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2610
93.2 IPS |
|
|
Text Classification (F32)
|
100% |
754
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
98% |
573
824.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1270
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1240
22.8 IPS |
|
|
Machine Translation (I8)
|
69% |
701
12.9 IPS |
