Nothing A001
Geekbench AI Score
529
Single Precision Score
1287
Half Precision Score
2636
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | RatRule |
| Upload Date | October 21 2025 08:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (Q)
|
99% |
4295
801.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1992
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2670
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6631
7.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
26773
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (Q)
|
86% |
2093
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
9007
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
399
3.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
6884
53.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
14040
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1677
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
305
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
386
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4042
149.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2934
427.3 IPS |
|
|
Text Classification (SP)
|
100% |
69
92.0 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.7 IPS |
|
|
Text Classification (Q)
|
93% |
1285
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
53% |
184
5.28 IPS |
