Nothing A059
Geekbench AI Score
426
Single Precision Score
371
Half Precision Score
1003
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 03:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
100% |
791
147.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1978
2.35 IPS |
|
|
Object Detection (SP)
|
98% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
98% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
758
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
520
6.18 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.91 IPS |
|
|
Face Detection (Q)
|
95% |
1472
17.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
675
5.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
610
4.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1673
15.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1354
1.76 IPS |
|
|
Style Transfer (HP)
|
89% |
1374
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
4236
5.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1049
38.9 IPS |
|
|
Text Classification (SP)
|
100% |
203
270.9 IPS |
|
|
Text Classification (HP)
|
99% |
203
271.1 IPS |
|
|
Text Classification (Q)
|
88% |
416
560.7 IPS |
|
|
Machine Translation (SP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
50% |
243
8.61 IPS |
