Nothing A024
Geekbench AI Score
2060
Single Precision Score
3345
Half Precision Score
2838
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 08:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (Q)
|
100% |
2013
374.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4608
74.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4607
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9512
11.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
17117
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16923
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (HP)
|
99% |
1754
139.1 IPS |
|
|
Object Detection (Q)
|
85% |
1726
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8099
96.2 IPS |
|
|
Face Detection (Q)
|
97% |
6873
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5411
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8182
63.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
6412
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12056
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26465
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25708
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4442
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4342
160.9 IPS |
|
|
Text Classification (SP)
|
35% |
57
552.9 IPS |
|
|
Text Classification (HP)
|
35% |
80
728.6 IPS |
|
|
Text Classification (Q)
|
33% |
64
712.5 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
48% |
398
15.3 IPS |
