Nothing A001
Geekbench AI Score
913
Single Precision Score
917
Half Precision Score
2056
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | luziferius |
| Upload Date | August 27 2025 07:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
463
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
100% |
1474
274.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1711
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2006
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3850
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1419
114.6 IPS |
|
|
Face Detection (SP)
|
100% |
1031
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
3442
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1514
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1523
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3518
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3631
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3630
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
8664
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2065
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
518
692.0 IPS |
|
|
Text Classification (HP)
|
100% |
513
685.3 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
471
16.7 IPS |
