UNISOC ums9230_6h10_Natv
Geekbench AI Score
70
Single Precision Score
96
Half Precision Score
91
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 04:09 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 @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
44
8.27 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.0 IPS |
|
|
Image Classification (Q)
|
99% |
79
14.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
110
1.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
108
1.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
41
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
48
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
47
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
38
2.99 IPS |
|
|
Object Detection (HP)
|
100% |
63
5.01 IPS |
|
|
Object Detection (Q)
|
83% |
61
4.94 IPS |
|
|
Face Detection (SP)
|
100% |
144
1.72 IPS |
|
|
Face Detection (HP)
|
100% |
220
2.61 IPS |
|
|
Face Detection (Q)
|
97% |
210
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
77
0.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
101
0.78 IPS |
|
|
Depth Estimation (Q)
|
62% |
82
0.78 IPS |
|
|
Style Transfer (SP)
|
100% |
153
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
212
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
211
0.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40
1.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59
2.20 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.4 IPS |
|
|
Text Classification (HP)
|
100% |
73
97.0 IPS |
|
|
Text Classification (Q)
|
91% |
114
152.8 IPS |
|
|
Machine Translation (SP)
|
100% |
124
2.14 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.16 IPS |
|
|
Machine Translation (Q)
|
57% |
72
1.76 IPS |
