Nothing A001T
Geekbench AI Score
545
Single Precision Score
1303
Half Precision Score
2690
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 05 2026 04:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
1521
282.8 IPS |
|
|
Image Classification (Q)
|
99% |
4568
852.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2066
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2719
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6656
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
27008
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (Q)
|
86% |
2164
174.0 IPS |
|
|
Face Detection (SP)
|
100% |
1311
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
9234
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
6966
53.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
14429
137.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1680
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
303
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
385
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3821
141.1 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2926
426.2 IPS |
|
|
Text Classification (SP)
|
100% |
76
101.2 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.2 IPS |
|
|
Text Classification (Q)
|
93% |
1313
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.11 IPS |
|
|
Machine Translation (Q)
|
53% |
183
5.27 IPS |
