Nothing A059
Geekbench AI Score
736
Single Precision Score
674
Half Precision Score
1238
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | seguraf17 |
| Upload Date | May 18 2025 08:23 PM |
| Views | 3 |
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% |
918
170.7 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
100% |
764
142.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
833
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1237
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
2320
2.75 IPS |
|
|
Object Detection (SP)
|
98% |
401
31.9 IPS |
|
|
Object Detection (HP)
|
98% |
411
32.7 IPS |
|
|
Object Detection (Q)
|
83% |
756
61.0 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (Q)
|
95% |
2848
34.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
972
7.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
2005
18.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2391
3.10 IPS |
|
|
Style Transfer (HP)
|
89% |
2332
3.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6894
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1229
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.7 IPS |
|
|
Text Classification (HP)
|
99% |
277
370.1 IPS |
|
|
Text Classification (Q)
|
88% |
487
656.9 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
