UNISOC ums9230_6h10_Natv
Geekbench AI Score
88
Single Precision Score
88
Half Precision Score
150
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 11:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 6 Cores @ 1.82 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
50
9.29 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.38 IPS |
|
|
Image Classification (Q)
|
99% |
92
17.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
69
1.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
70
1.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
122
1.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
221
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.07 IPS |
|
|
Object Detection (HP)
|
100% |
51
4.07 IPS |
|
|
Object Detection (Q)
|
87% |
91
7.29 IPS |
|
|
Face Detection (SP)
|
100% |
132
1.57 IPS |
|
|
Face Detection (HP)
|
100% |
134
1.59 IPS |
|
|
Face Detection (Q)
|
97% |
266
3.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
116
0.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
119
0.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
191
1.73 IPS |
|
|
Style Transfer (SP)
|
100% |
215
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
220
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
471
0.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58
2.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57
2.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
132
4.89 IPS |
|
|
Text Classification (SP)
|
100% |
73
96.9 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.0 IPS |
|
|
Text Classification (Q)
|
91% |
114
153.0 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (HP)
|
100% |
123
2.12 IPS |
|
|
Machine Translation (Q)
|
57% |
71
1.74 IPS |
