Nothing A015
Geekbench AI Score
918
Single Precision Score
916
Half Precision Score
2116
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 07:31 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing A015 |
| Model ID | Nothing A015 |
| Motherboard | Tetris |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
100% |
1504
279.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1723
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2008
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2004
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3924
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (Q)
|
87% |
1473
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
3508
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1438
11.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
1483
11.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
4016
32.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3619
4.70 IPS |
|
|
Style Transfer (HP)
|
89% |
3621
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
8838
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2117
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
529
706.0 IPS |
|
|
Text Classification (HP)
|
100% |
515
687.9 IPS |
|
|
Text Classification (Q)
|
88% |
942
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
484
17.2 IPS |
