Nothing A059
Geekbench AI Score
914
Single Precision Score
822
Half Precision Score
1293
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 12:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
893
166.1 IPS |
|
|
Image Classification (HP)
|
100% |
892
165.9 IPS |
|
|
Image Classification (Q)
|
100% |
851
158.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
850
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1247
1.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
2246
2.66 IPS |
|
|
Object Detection (SP)
|
98% |
414
33.0 IPS |
|
|
Object Detection (HP)
|
98% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
83% |
881
71.2 IPS |
|
|
Face Detection (SP)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (Q)
|
95% |
1863
22.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1588
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1669
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2037
18.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2346
3.05 IPS |
|
|
Style Transfer (HP)
|
89% |
4720
6.13 IPS |
|
|
Style Transfer (Q)
|
98% |
12289
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1209
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.5 IPS |
|
|
Text Classification (HP)
|
99% |
276
368.1 IPS |
|
|
Text Classification (Q)
|
88% |
472
636.6 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
