Nothing A024
Geekbench AI Score
2019
Single Precision Score
3249
Half Precision Score
2692
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 08:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2092
389.1 IPS |
|
|
Image Classification (Q)
|
100% |
2037
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4726
76.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4013
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9426
11.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
16786
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16737
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
99% |
1746
138.5 IPS |
|
|
Object Detection (Q)
|
85% |
1647
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
4719
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
8318
98.8 IPS |
|
|
Face Detection (Q)
|
97% |
6691
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5340
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8019
62.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
6272
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11996
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26220
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25611
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2475
91.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4375
161.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4298
159.3 IPS |
|
|
Text Classification (SP)
|
35% |
55
537.3 IPS |
|
|
Text Classification (HP)
|
35% |
76
689.5 IPS |
|
|
Text Classification (Q)
|
33% |
60
670.2 IPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
48% |
321
12.3 IPS |
