Odea S11
Geekbench AI Score
352
Single Precision Score
349
Half Precision Score
635
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 5hR3kY |
| Upload Date | November 11 2025 08:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Odea S11 |
| Model ID | Odea S11 |
| 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 | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.0 IPS |
|
|
Image Classification (Q)
|
100% |
463
86.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
584
9.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1349
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (Q)
|
83% |
436
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (HP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (Q)
|
95% |
1084
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1206
11.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1552
2.02 IPS |
|
|
Style Transfer (HP)
|
89% |
1557
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3068
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
673
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.5 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.2 IPS |
|
|
Text Classification (Q)
|
88% |
208
280.7 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
50% |
121
4.31 IPS |
