Nothing A059
Geekbench AI Score
493
Single Precision Score
879
Half Precision Score
699
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 05:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A059 |
| Model ID | Nothing A059 |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
371
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (Q)
|
100% |
581
108.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
1021
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
773
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
3804
4.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
3722
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.2 IPS |
|
|
Object Detection (HP)
|
99% |
490
38.8 IPS |
|
|
Object Detection (Q)
|
85% |
468
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1328
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1189
9.16 IPS |
|
|
Depth Estimation (HP)
|
98% |
2590
20.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1975
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2258
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
5696
7.32 IPS |
|
|
Style Transfer (Q)
|
98% |
5506
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
910
33.7 IPS |
|
|
Text Classification (SP)
|
35% |
20
199.2 IPS |
|
|
Text Classification (HP)
|
35% |
33
299.0 IPS |
|
|
Text Classification (Q)
|
33% |
26
295.5 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
48% |
105
4.03 IPS |
