Nothing A059
Geekbench AI Score
230
Single Precision Score
231
Half Precision Score
536
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | seguraf17 |
| Upload Date | May 18 2025 08:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
391
6.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
243
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
932
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
813
9.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
302
2.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
723
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1567
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
539
20.0 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.2 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.9 IPS |
|
|
Text Classification (Q)
|
91% |
341
458.6 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (Q)
|
57% |
254
6.20 IPS |
