UNISOC ums9230_6h10_Natv
Geekbench AI Score
245
Single Precision Score
242
Half Precision Score
346
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:58 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% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.8 IPS |
|
|
Image Classification (Q)
|
100% |
207
38.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
457
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.65 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.67 IPS |
|
|
Object Detection (Q)
|
83% |
236
19.0 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (Q)
|
95% |
655
7.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
522
4.78 IPS |
|
|
Style Transfer (SP)
|
89% |
882
1.14 IPS |
|
|
Style Transfer (HP)
|
89% |
884
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
1179
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
288
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
141
187.7 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.5 IPS |
|
|
Text Classification (Q)
|
88% |
199
268.1 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (HP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (Q)
|
50% |
159
5.65 IPS |
