TianBei WTR PRO
Geekbench AI Score
4026
Single Precision Score
4017
Half Precision Score
6964
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 07:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | TianBei WTR PRO |
| Motherboard | TianBei WTR PRO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5825U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2684
499.2 IPS |
|
|
Image Classification (HP)
|
100% |
2668
496.2 IPS |
|
|
Image Classification (Q)
|
100% |
4865
904.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4435
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5087
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4885
5.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
11329
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (Q)
|
87% |
4739
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
4712
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (Q)
|
97% |
12554
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6591
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6686
51.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
12546
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14540
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14614
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32844
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3096
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6793
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (Q)
|
91% |
1977
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3334
57.4 IPS |
