onn 100135923
Geekbench AI Score
357
Single Precision Score
351
Half Precision Score
670
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | onn 100135923 |
| Model ID | onn 100135923 |
| Motherboard | t302aa |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.5 IPS |
|
|
Image Classification (Q)
|
100% |
539
100.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
635
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
811
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1372
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
83% |
456
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
443
5.26 IPS |
|
|
Face Detection (HP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (Q)
|
95% |
1048
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
588
4.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1143
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1517
1.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1519
1.97 IPS |
|
|
Style Transfer (Q)
|
98% |
3061
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
732
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.7 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.3 IPS |
|
|
Text Classification (Q)
|
88% |
243
328.2 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
50% |
131
4.64 IPS |
