TianBei GT 370
Geekbench AI Score
2661
Single Precision Score
1477
Half Precision Score
6752
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 11:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | TianBei GT 370 |
| Motherboard | TianBei GT 370 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1684
313.1 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
99% |
5500
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10471
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4435
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6145
7.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
25548
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
86% |
5298
425.8 IPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
7631
91.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5880
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1761
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13438
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10805
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10792
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25327
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1805
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3205
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
720
960.6 IPS |
|
|
Text Classification (Q)
|
97% |
1130
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2689
54.0 IPS |
