UNISOC V30
Geekbench AI Score
221
Single Precision Score
223
Half Precision Score
294
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 11:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | UNISOC V30 |
| Model ID | UNISOC V30 |
| Motherboard | ums9230_1h10 |
| 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 | 1.82 GHz |
| Cluster 1 | 6 Cores @ 1.82 GHz |
| Cluster 2 | 2 Cores @ 1.95 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
100% |
196
36.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
248
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
379
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.56 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.59 IPS |
|
|
Object Detection (Q)
|
83% |
193
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
95% |
550
6.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
428
3.92 IPS |
|
|
Style Transfer (SP)
|
89% |
815
1.06 IPS |
|
|
Style Transfer (HP)
|
89% |
815
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
970
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
223
8.24 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
236
8.76 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.7 IPS |
|
|
Text Classification (HP)
|
100% |
115
152.9 IPS |
|
|
Text Classification (Q)
|
88% |
186
250.4 IPS |
|
|
Machine Translation (SP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
50% |
138
4.91 IPS |
