Nothing A001
Geekbench AI Score
925
Single Precision Score
920
Half Precision Score
2060
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:22 AM |
| Views | 1 |
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 | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
100% |
1470
273.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
1727
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2021
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3847
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1414
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
3504
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1520
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1538
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3489
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3590
4.66 IPS |
|
|
Style Transfer (HP)
|
89% |
3613
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8700
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2064
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
515
687.3 IPS |
|
|
Text Classification (HP)
|
100% |
513
684.5 IPS |
|
|
Text Classification (Q)
|
88% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
