Nothing A024
Geekbench AI Score
506
Single Precision Score
508
Half Precision Score
1137
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Plummi |
| Upload Date | January 26 2026 11:15 AM |
| Views | 5 |
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 | 10.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.7 IPS |
|
|
Image Classification (Q)
|
99% |
796
148.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
814
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2004
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
87% |
843
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (HP)
|
100% |
732
8.69 IPS |
|
|
Face Detection (Q)
|
97% |
1750
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
654
5.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
659
5.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1534
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1047
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1048
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2539
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1157
42.9 IPS |
|
|
Text Classification (SP)
|
100% |
456
609.2 IPS |
|
|
Text Classification (HP)
|
100% |
463
618.1 IPS |
|
|
Text Classification (Q)
|
91% |
734
986.7 IPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
57% |
570
13.9 IPS |
