TianBei WTR PRO
Geekbench AI Score
2465
Single Precision Score
585
Half Precision Score
3912
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 07:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U |
| 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% |
1646
306.1 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
94% |
4081
762.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
2049
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4652
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3426
4.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
9616
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
58% |
2731
298.4 IPS |
|
|
Face Detection (SP)
|
100% |
2004
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (Q)
|
96% |
8014
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5464
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
9087
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12115
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9906
12.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13425
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2049
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
417
556.2 IPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
68% |
1592
30.8 IPS |
