TianBei WTR PRO
Geekbench ML Score
2601
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 04:12 AM |
| Views | 8 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1682
314.8 IPS |
|
|
Image Classification (F16)
|
100% |
1642
307.2 IPS |
|
|
Image Classification (I8)
|
97% |
2666
498.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
744
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
2001
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5279
6.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
5284
6.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
10344
12.5 IPS |
|
|
Object Detection (F32)
|
100% |
1569
117.2 IPS |
|
|
Object Detection (F16)
|
100% |
1430
106.8 IPS |
|
|
Object Detection (I8)
|
60% |
1324
98.9 IPS |
|
|
Face Detection (F32)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (F16)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (I8)
|
87% |
3067
36.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5590
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5511
42.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
8724
67.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11149
14.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11097
14.6 IPS |
|
|
Style Transfer (I8)
|
85% |
12067
15.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2262
80.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2240
80.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2507
89.5 IPS |
|
|
Text Classification (F32)
|
100% |
1417
2.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1065
1.53 KIPS |
|
|
Text Classification (I8)
|
94% |
1143
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1486
27.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1916
35.3 IPS |
