Odea S11
Geekbench AI Score
126
Single Precision Score
135
Half Precision Score
145
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 5hR3kY |
| Upload Date | November 11 2025 09:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
74
13.7 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
99% |
102
19.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
144
2.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
424
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
39
3.07 IPS |
|
|
Object Detection (HP)
|
100% |
39
3.08 IPS |
|
|
Object Detection (Q)
|
87% |
78
6.24 IPS |
|
|
Face Detection (SP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
355
2.73 IPS |
|
|
Depth Estimation (HP)
|
98% |
283
2.19 IPS |
|
|
Depth Estimation (Q)
|
66% |
333
2.94 IPS |
|
|
Style Transfer (SP)
|
100% |
323
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
172
0.22 IPS |
|
|
Style Transfer (Q)
|
98% |
579
0.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
210
7.77 IPS |
|
|
Text Classification (SP)
|
100% |
18
24.3 IPS |
|
|
Text Classification (HP)
|
100% |
55
73.8 IPS |
|
|
Text Classification (Q)
|
93% |
23
31.2 IPS |
|
|
Machine Translation (SP)
|
100% |
67
1.15 IPS |
|
|
Machine Translation (HP)
|
100% |
96
1.65 IPS |
|
|
Machine Translation (Q)
|
55% |
48
1.26 IPS |
