CWHTG108 CWHTG108
Geekbench AI Score
352
Single Precision Score
359
Half Precision Score
657
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 02:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 14.0 |
| Model | CWHTG108 CWHTG108 |
| Model ID | CWHTG108 CWHTG108 |
| Motherboard | f30_t616_64_t |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 7.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (Q)
|
100% |
421
78.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
576
9.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1325
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
467
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.45 IPS |
|
|
Face Detection (Q)
|
95% |
1168
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
601
4.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
611
4.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1233
11.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1600
2.08 IPS |
|
|
Style Transfer (HP)
|
89% |
1610
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
3121
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
716
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
174
231.7 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.1 IPS |
|
|
Text Classification (Q)
|
88% |
228
308.1 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
50% |
138
4.89 IPS |
