TianBei G-FLIP
Geekbench AI Score
7603
Single Precision Score
13301
Half Precision Score
5662
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | mohelal |
| Upload Date | January 20 2026 06:52 PM |
| Views | 7 |
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% |
2687
499.8 IPS |
|
|
Image Classification (HP)
|
100% |
5376
999.8 IPS |
|
|
Image Classification (Q)
|
100% |
2460
457.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5515
89.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3276
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
40581
47.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
97383
113.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29259
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
3655
289.9 IPS |
|
|
Object Detection (Q)
|
87% |
2041
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
5827
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
10668
126.8 IPS |
|
|
Face Detection (Q)
|
97% |
4842
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16562
127.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27335
210.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12535
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
76425
98.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137194
176.4 IPS |
|
|
Style Transfer (Q)
|
98% |
49929
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12427
458.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28992
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8059
298.4 IPS |
|
|
Text Classification (SP)
|
100% |
2650
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1818
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4053
69.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1586
29.7 IPS |
