Nothing A001
Geekbench AI Score
521
Single Precision Score
753
Half Precision Score
634
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | RatRule |
| Upload Date | October 21 2025 08:24 AM |
| Views | 2 |
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 | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (HP)
|
100% |
570
105.9 IPS |
|
|
Image Classification (Q)
|
97% |
518
96.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
552
8.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2195
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3804
4.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
3727
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
99% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
397
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
96% |
1466
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1422
11.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2319
17.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1730
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3619
4.65 IPS |
|
|
Style Transfer (HP)
|
100% |
6561
8.43 IPS |
|
|
Style Transfer (Q)
|
98% |
6317
8.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
956
35.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
123.4 IPS |
|
|
Text Classification (HP)
|
29% |
7
129.4 IPS |
|
|
Text Classification (Q)
|
32% |
10
125.8 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
43% |
98
5.72 IPS |
