UNISOC ums9230_6h10_Natv
Geekbench AI Score
310
Single Precision Score
322
Half Precision Score
666
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 02:26 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 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (Q)
|
100% |
493
91.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
626
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1323
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
469
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.01 IPS |
|
|
Face Detection (HP)
|
100% |
450
5.35 IPS |
|
|
Face Detection (Q)
|
95% |
1203
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
357
2.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
394
3.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1315
12.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1518
1.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1567
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3480
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
712
26.4 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.1 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.2 IPS |
|
|
Text Classification (Q)
|
88% |
211
284.5 IPS |
|
|
Machine Translation (SP)
|
100% |
209
3.61 IPS |
|
|
Machine Translation (HP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (Q)
|
50% |
109
3.86 IPS |
