Nothing A024
Geekbench AI Score
2029
Single Precision Score
3282
Half Precision Score
2744
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 10:19 PM |
| Views | 5 |
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 | 14.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (Q)
|
100% |
1980
368.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2620
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4488
72.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4158
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9522
11.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
17002
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16807
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (HP)
|
99% |
1708
135.4 IPS |
|
|
Object Detection (Q)
|
85% |
1607
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7675
91.2 IPS |
|
|
Face Detection (Q)
|
97% |
6753
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5341
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8209
63.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
6277
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12220
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26358
33.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25890
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4331
160.5 IPS |
|
|
Text Classification (SP)
|
35% |
54
527.1 IPS |
|
|
Text Classification (HP)
|
35% |
75
679.9 IPS |
|
|
Text Classification (Q)
|
33% |
60
672.7 IPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
48% |
383
14.7 IPS |
