Nothing A059
Geekbench AI Score
960
Single Precision Score
1219
Half Precision Score
1495
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | ratulislam |
| Upload Date | March 08 2026 09:06 AM |
| Views | 6 |
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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
909
169.1 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
1843
343.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
2147
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (HP)
|
92% |
4033
4.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2991
3.50 IPS |
|
|
Object Detection (SP)
|
98% |
848
67.5 IPS |
|
|
Object Detection (HP)
|
97% |
950
75.6 IPS |
|
|
Object Detection (Q)
|
85% |
793
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (HP)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
1846
22.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1064
8.22 IPS |
|
|
Depth Estimation (HP)
|
98% |
1595
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2064
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4560
5.92 IPS |
|
|
Style Transfer (HP)
|
88% |
4980
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
4637
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1626
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1241
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
270
359.8 IPS |
|
|
Text Classification (HP)
|
100% |
508
677.5 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.3 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
96% |
709
12.3 IPS |
|
|
Machine Translation (Q)
|
55% |
483
13.0 IPS |
