Nothing A024
Geekbench AI Score
2290
Single Precision Score
2309
Half Precision Score
3730
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 06:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Nothing A024 |
| Model ID | Nothing A024 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 14.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (Q)
|
100% |
2765
514.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3382
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3897
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3701
4.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
8707
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1652
131.4 IPS |
|
|
Object Detection (HP)
|
98% |
1673
133.1 IPS |
|
|
Object Detection (Q)
|
83% |
2520
203.6 IPS |
|
|
Face Detection (SP)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (Q)
|
95% |
6588
78.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3638
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3625
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6800
62.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10020
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10288
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18114
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4533
168.0 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
1138
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.6 IPS |
