UNISOC ums9230_6h10_Natv
Geekbench AI Score
222
Single Precision Score
223
Half Precision Score
313
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 02:48 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% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (Q)
|
100% |
211
39.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
128
2.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
264
4.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
403
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.01 IPS |
|
|
Object Detection (HP)
|
100% |
101
7.98 IPS |
|
|
Object Detection (Q)
|
83% |
205
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
339
4.02 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.01 IPS |
|
|
Face Detection (Q)
|
95% |
587
7.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
309
2.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
458
4.19 IPS |
|
|
Style Transfer (SP)
|
89% |
835
1.08 IPS |
|
|
Style Transfer (HP)
|
89% |
834
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1042
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.36 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.6 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.0 IPS |
|
|
Text Classification (Q)
|
88% |
195
263.2 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.80 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.75 IPS |
|
|
Machine Translation (Q)
|
50% |
144
5.10 IPS |
