Nothing A001
Geekbench AI Score
541
Single Precision Score
1319
Half Precision Score
2714
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 16 2025 07:23 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 | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.7 IPS |
|
|
Image Classification (Q)
|
99% |
4586
855.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2065
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2702
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6664
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
26976
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (Q)
|
86% |
2211
177.9 IPS |
|
|
Face Detection (SP)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
9267
110.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
408
3.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
6955
53.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
14473
137.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1694
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
311
0.40 IPS |
|
|
Style Transfer (Q)
|
30% |
386
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4128
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3058
445.4 IPS |
|
|
Text Classification (SP)
|
100% |
72
95.9 IPS |
|
|
Text Classification (HP)
|
100% |
111
147.8 IPS |
|
|
Text Classification (Q)
|
93% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.18 IPS |
|
|
Machine Translation (Q)
|
53% |
185
5.32 IPS |
