Nothing A024
Geekbench AI Score
440
Single Precision Score
436
Half Precision Score
969
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 08:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
761
142.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
456
0.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
1710
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
87% |
677
54.3 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.42 IPS |
|
|
Face Detection (HP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (Q)
|
97% |
1428
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
554
4.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
1264
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
909
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
908
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2152
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
976
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
366
489.0 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.5 IPS |
|
|
Text Classification (Q)
|
91% |
591
794.7 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
483
11.8 IPS |
