Nothing A001T
Geekbench AI Score
505
Single Precision Score
740
Half Precision Score
629
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 29 2026 09:03 AM |
| Views | 4 |
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% |
320
59.6 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.6 IPS |
|
|
Image Classification (Q)
|
97% |
538
100.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
922
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2164
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3836
4.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
3747
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
99% |
364
28.8 IPS |
|
|
Object Detection (Q)
|
83% |
358
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
96% |
1405
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1328
10.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2155
16.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1678
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3640
4.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6465
8.31 IPS |
|
|
Style Transfer (Q)
|
98% |
6300
8.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
972
36.0 IPS |
|
|
Text Classification (SP)
|
35% |
12
105.1 IPS |
|
|
Text Classification (HP)
|
29% |
7
124.8 IPS |
|
|
Text Classification (Q)
|
32% |
10
123.5 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (Q)
|
43% |
102
5.94 IPS |
