Nothing A059
Geekbench AI Score
233
Single Precision Score
234
Half Precision Score
11194
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 02 2025 07:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
97% |
10784
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
7026
114.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
32314
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
86% |
4711
378.8 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (Q)
|
97% |
26422
315.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
304
2.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
63% |
21976
205.8 IPS |
|
|
Style Transfer (SP)
|
100% |
525
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
72347
93.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18353
680.1 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.4 IPS |
|
|
Text Classification (HP)
|
100% |
202
270.1 IPS |
|
|
Text Classification (Q)
|
93% |
4569
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
327
5.62 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (Q)
|
55% |
761
20.0 IPS |
