onn 100110027
Geekbench AI Score
444
Single Precision Score
461
Half Precision Score
918
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Camgangrel |
| Upload Date | May 08 2025 05:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
213
39.6 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
687
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1019
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1607
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
83% |
623
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
639
7.60 IPS |
|
|
Face Detection (HP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (Q)
|
95% |
1446
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
426
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
649
5.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1465
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1757
2.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1759
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3673
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
881
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.2 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.6 IPS |
|
|
Text Classification (Q)
|
88% |
475
641.0 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.43 IPS |
|
|
Machine Translation (Q)
|
50% |
300
10.6 IPS |
