onn 100110027
Geekbench AI Score
150
Single Precision Score
209
Half Precision Score
201
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Camgangrel |
| Upload Date | May 08 2025 06:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | onn 100110027 |
| Model ID | onn 100110027 |
| Motherboard | mid1110_ms_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
99
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
108
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.52 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
123
9.94 IPS |
|
|
Face Detection (SP)
|
100% |
283
3.37 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (Q)
|
97% |
402
4.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
175
1.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
230
1.77 IPS |
|
|
Depth Estimation (Q)
|
62% |
185
1.75 IPS |
|
|
Style Transfer (SP)
|
100% |
350
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
487
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
485
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
89
3.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
136
5.05 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.5 IPS |
|
|
Text Classification (HP)
|
100% |
151
202.0 IPS |
|
|
Text Classification (Q)
|
91% |
248
334.0 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
57% |
176
4.30 IPS |
