TianBei GT 370
Geekbench AI Score
3175
Single Precision Score
1591
Half Precision Score
6727
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 02:19 PM |
| Views | 1 |
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% |
3273
608.6 IPS |
|
|
Image Classification (HP)
|
100% |
723
134.4 IPS |
|
|
Image Classification (Q)
|
99% |
8172
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11210
182.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4378
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3904
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
18217
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.5 IPS |
|
|
Object Detection (Q)
|
86% |
5257
422.5 IPS |
|
|
Face Detection (SP)
|
100% |
4828
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
7627
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5744
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1729
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13497
107.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10670
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10704
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25370
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1787
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2313
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1566
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1561
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3390
68.1 IPS |
