Nothing A001T
Geekbench AI Score
487
Single Precision Score
758
Half Precision Score
566
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 05 2026 04:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.2 IPS |
|
|
Image Classification (Q)
|
97% |
296
55.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
868
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2153
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
3770
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
99% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
331
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (Q)
|
96% |
1383
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1272
9.80 IPS |
|
|
Depth Estimation (HP)
|
98% |
2149
16.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1695
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3502
4.50 IPS |
|
|
Style Transfer (HP)
|
100% |
6486
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
6485
8.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
956
35.4 IPS |
|
|
Text Classification (SP)
|
35% |
11
104.5 IPS |
|
|
Text Classification (HP)
|
35% |
14
123.4 IPS |
|
|
Text Classification (Q)
|
29% |
7
121.5 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.61 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
43% |
104
6.06 IPS |
