Nothing A059
Geekbench AI Score
253
Single Precision Score
331
Half Precision Score
330
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | seguraf17 |
| Upload Date | May 18 2025 08:43 PM |
| Views | 4 |
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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
99% |
235
43.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
338
5.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
197
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
249
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
177
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (HP)
|
100% |
678
8.06 IPS |
|
|
Face Detection (Q)
|
97% |
623
7.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
469
3.62 IPS |
|
|
Depth Estimation (Q)
|
63% |
392
3.64 IPS |
|
|
Style Transfer (SP)
|
100% |
647
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1193
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1215
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
174
6.45 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.2 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.0 IPS |
|
|
Text Classification (Q)
|
91% |
339
456.1 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (Q)
|
57% |
254
6.22 IPS |
