Nothing A001T
Geekbench AI Score
495
Single Precision Score
697
Half Precision Score
588
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 03:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A001T |
| Model ID | Nothing A001T |
| Motherboard | Galaxian |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
97% |
312
58.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2161
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3829
4.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
3770
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
99% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
83% |
331
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (Q)
|
96% |
1466
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1329
10.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2166
16.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1703
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3586
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
6535
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
6391
8.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
947
35.1 IPS |
|
|
Text Classification (SP)
|
35% |
12
105.6 IPS |
|
|
Text Classification (HP)
|
29% |
7
126.2 IPS |
|
|
Text Classification (Q)
|
32% |
10
123.3 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
43% |
100
5.81 IPS |
