TianBei WTR MAX
Geekbench AI Score
7536
Single Precision Score
11484
Half Precision Score
5572
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | January 30 2026 09:31 PM |
| Views | 2 |
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% |
2993
556.6 IPS |
|
|
Image Classification (HP)
|
100% |
4451
827.7 IPS |
|
|
Image Classification (Q)
|
100% |
2693
500.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3676
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4667
75.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3004
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37072
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66260
77.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26678
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2564
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
3843
304.8 IPS |
|
|
Object Detection (Q)
|
87% |
2285
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
5534
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
10144
120.5 IPS |
|
|
Face Detection (Q)
|
97% |
4651
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15986
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27851
214.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12510
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
64137
82.4 IPS |
|
|
Style Transfer (HP)
|
100% |
105435
135.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42412
54.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12805
472.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21374
789.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8297
307.2 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3736
64.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1722
32.3 IPS |
