UNISOC ums9230_6h10_Natv
Geekbench AI Score
206
Single Precision Score
213
Half Precision Score
278
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 09:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | UNISOC ums9230_6h10_Natv |
| Model ID | UNISOC ums9230_6h10_Natv |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
61
11.4 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.6 IPS |
|
|
Image Classification (Q)
|
100% |
153
28.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
287
4.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
591
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
918
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.48 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.61 IPS |
|
|
Object Detection (Q)
|
83% |
154
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (Q)
|
95% |
512
6.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
342
2.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
719
6.59 IPS |
|
|
Style Transfer (SP)
|
89% |
1295
1.68 IPS |
|
|
Style Transfer (HP)
|
89% |
1292
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1332
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
251
9.31 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.6 IPS |
|
|
Text Classification (HP)
|
100% |
84
112.4 IPS |
|
|
Text Classification (Q)
|
88% |
72
97.7 IPS |
|
|
Machine Translation (SP)
|
100% |
122
2.11 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.47 IPS |
|
|
Machine Translation (Q)
|
50% |
51
1.82 IPS |
