Nothing A024
Geekbench AI Score
2109
Single Precision Score
3412
Half Precision Score
2876
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 03:55 PM |
| Views | 2 |
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% |
1445
268.7 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
100% |
2116
393.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4529
73.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4519
73.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9503
11.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
17071
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16718
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (HP)
|
99% |
1795
142.3 IPS |
|
|
Object Detection (Q)
|
85% |
1722
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
4938
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
8657
102.9 IPS |
|
|
Face Detection (Q)
|
97% |
7089
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5363
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8284
64.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
6311
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12114
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26295
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26273
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4593
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4513
167.2 IPS |
|
|
Text Classification (SP)
|
35% |
64
622.6 IPS |
|
|
Text Classification (HP)
|
35% |
85
776.2 IPS |
|
|
Text Classification (Q)
|
33% |
69
777.2 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
48% |
385
14.8 IPS |
