UNISOC ums9230_6h10_Natv
Geekbench AI Score
61
Single Precision Score
84
Half Precision Score
80
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 04:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 @ 1.95 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
39
7.21 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.3 IPS |
|
|
Image Classification (Q)
|
99% |
69
12.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
60
0.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
95
1.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
35
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
41
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
33
2.61 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.38 IPS |
|
|
Object Detection (Q)
|
83% |
54
4.34 IPS |
|
|
Face Detection (SP)
|
100% |
127
1.50 IPS |
|
|
Face Detection (HP)
|
100% |
194
2.30 IPS |
|
|
Face Detection (Q)
|
97% |
185
2.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
88
0.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
71
0.68 IPS |
|
|
Style Transfer (SP)
|
100% |
133
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
184
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
183
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34
1.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52
1.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52
1.92 IPS |
|
|
Text Classification (SP)
|
100% |
67
88.8 IPS |
|
|
Text Classification (HP)
|
100% |
66
88.0 IPS |
|
|
Text Classification (Q)
|
91% |
101
135.4 IPS |
|
|
Machine Translation (SP)
|
100% |
113
1.95 IPS |
|
|
Machine Translation (HP)
|
100% |
113
1.95 IPS |
|
|
Machine Translation (Q)
|
57% |
60
1.46 IPS |
