UNISOC ums9230_4h10_Natv
Geekbench AI Score
54
Single Precision Score
74
Half Precision Score
70
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 04:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | UNISOC ums9230_4h10_Natv |
| Model ID | UNISOC ums9230_4h10_Natv |
| Motherboard | ums9230_4h10 |
| 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 | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
34
6.39 IPS |
|
|
Image Classification (HP)
|
100% |
63
11.7 IPS |
|
|
Image Classification (Q)
|
99% |
62
11.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
53
0.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
31
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
37
0.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
36
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
29
2.31 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.90 IPS |
|
|
Object Detection (Q)
|
83% |
48
3.87 IPS |
|
|
Face Detection (SP)
|
100% |
112
1.33 IPS |
|
|
Face Detection (HP)
|
100% |
173
2.05 IPS |
|
|
Face Detection (Q)
|
97% |
165
1.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
59
0.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
78
0.60 IPS |
|
|
Depth Estimation (Q)
|
62% |
63
0.60 IPS |
|
|
Style Transfer (SP)
|
100% |
117
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
162
0.21 IPS |
|
|
Style Transfer (Q)
|
98% |
161
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30
1.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46
1.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
46
1.70 IPS |
|
|
Text Classification (SP)
|
100% |
57
75.5 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.2 IPS |
|
|
Text Classification (Q)
|
91% |
84
112.9 IPS |
|
|
Machine Translation (SP)
|
100% |
99
1.71 IPS |
|
|
Machine Translation (HP)
|
100% |
99
1.71 IPS |
|
|
Machine Translation (Q)
|
57% |
50
1.22 IPS |
