TianBei WTR MAX
Geekbench AI Score
7538
Single Precision Score
11437
Half Precision Score
5607
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | January 30 2026 07:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | TianBei WTR MAX |
| Motherboard | TianBei WTR MAX |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (HP)
|
100% |
4329
805.1 IPS |
|
|
Image Classification (Q)
|
100% |
2669
496.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3627
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4677
75.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3003
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37224
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
67776
79.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26843
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2530
200.7 IPS |
|
|
Object Detection (HP)
|
100% |
3754
297.7 IPS |
|
|
Object Detection (Q)
|
87% |
2430
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
5555
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
10380
123.3 IPS |
|
|
Face Detection (Q)
|
97% |
4721
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16420
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27208
209.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12639
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
64605
83.1 IPS |
|
|
Style Transfer (HP)
|
100% |
107840
138.6 IPS |
|
|
Style Transfer (Q)
|
98% |
42827
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13100
483.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21604
797.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8203
303.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3133
4.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1671
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1678
31.5 IPS |
