Nothing A001
Geekbench AI Score
494
Single Precision Score
710
Half Precision Score
583
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | luziferius |
| Upload Date | August 27 2025 07:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A001 |
| Model ID | Nothing A001 |
| Motherboard | Galaga |
| 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 | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
97% |
309
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
861
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2147
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3798
4.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
3740
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
99% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
349
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (Q)
|
96% |
1451
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1418
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2146
16.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1646
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3589
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
6448
8.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6349
8.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
961
35.6 IPS |
|
|
Text Classification (SP)
|
35% |
12
106.1 IPS |
|
|
Text Classification (HP)
|
29% |
7
121.4 IPS |
|
|
Text Classification (Q)
|
32% |
9
120.4 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
43% |
101
5.90 IPS |
