UNISOC ums9230_6h10_Natv
Geekbench AI Score
241
Single Precision Score
243
Half Precision Score
351
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 08:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
106
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (Q)
|
100% |
243
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
457
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.70 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.69 IPS |
|
|
Object Detection (Q)
|
83% |
235
19.0 IPS |
|
|
Face Detection (SP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
95% |
651
7.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
349
2.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
363
2.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
522
4.78 IPS |
|
|
Style Transfer (SP)
|
89% |
875
1.14 IPS |
|
|
Style Transfer (HP)
|
89% |
860
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
1180
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
211
7.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
288
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
137
183.2 IPS |
|
|
Text Classification (HP)
|
100% |
139
186.1 IPS |
|
|
Text Classification (Q)
|
88% |
198
267.7 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
