TianBei G-FLIP
Geekbench AI Score
9058
Single Precision Score
15876
Half Precision Score
6603
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | mohelal |
| Upload Date | January 21 2026 04:06 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | TianBei G-FLIP |
| Motherboard | TianBei G-FLIP |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3297
613.2 IPS |
|
|
Image Classification (HP)
|
100% |
5479
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
2918
542.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9225
149.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3686
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46257
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
112963
131.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
33028
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (HP)
|
100% |
4414
350.1 IPS |
|
|
Object Detection (Q)
|
87% |
2386
191.6 IPS |
|
|
Face Detection (SP)
|
100% |
6581
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
12781
151.9 IPS |
|
|
Face Detection (Q)
|
97% |
5530
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20799
160.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34778
267.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15596
125.1 IPS |
|
|
Style Transfer (SP)
|
100% |
85552
110.0 IPS |
|
|
Style Transfer (HP)
|
100% |
165738
213.1 IPS |
|
|
Style Transfer (Q)
|
98% |
55096
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13860
511.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29454
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8869
328.4 IPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3862
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2089
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2113
39.6 IPS |
