Nothing A001
Geekbench AI Score
898
Single Precision Score
898
Half Precision Score
2006
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | RatRule |
| Upload Date | October 21 2025 08:09 AM |
| Views | 5 |
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 | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.8 IPS |
|
|
Image Classification (Q)
|
100% |
1481
275.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1995
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3848
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1418
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
1056
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
3491
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1457
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3493
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3503
4.55 IPS |
|
|
Style Transfer (HP)
|
89% |
3453
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
8027
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1918
71.1 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.0 IPS |
|
|
Text Classification (HP)
|
100% |
479
639.3 IPS |
|
|
Text Classification (Q)
|
88% |
891
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
