UNISOC ums9230_6h10_Natv
Geekbench AI Score
212
Single Precision Score
213
Half Precision Score
294
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 03:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.8 IPS |
|
|
Image Classification (Q)
|
100% |
199
37.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
247
4.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
377
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.58 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.60 IPS |
|
|
Object Detection (Q)
|
83% |
192
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
95% |
551
6.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
302
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
317
2.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
429
3.93 IPS |
|
|
Style Transfer (SP)
|
89% |
792
1.03 IPS |
|
|
Style Transfer (HP)
|
89% |
794
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
976
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.77 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.1 IPS |
|
|
Text Classification (HP)
|
100% |
113
150.9 IPS |
|
|
Text Classification (Q)
|
88% |
184
248.5 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.54 IPS |
|
|
Machine Translation (Q)
|
50% |
138
4.90 IPS |
