TianBei WTR MAX
Geekbench AI Score
4521
Single Precision Score
4515
Half Precision Score
12920
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | January 30 2026 07:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8845HS w/ 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% |
2776
516.2 IPS |
|
|
Image Classification (HP)
|
100% |
3121
580.4 IPS |
|
|
Image Classification (Q)
|
100% |
8329
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9518
154.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5377
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
23245
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2685
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2786
221.0 IPS |
|
|
Object Detection (Q)
|
88% |
8551
685.4 IPS |
|
|
Face Detection (SP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
5717
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
22808
271.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7837
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7516
57.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
21066
163.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17418
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15678
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
57683
74.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3210
118.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12116
448.7 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5292
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4629
79.7 IPS |
