Nothing A065
Geekbench AI Score
475
Single Precision Score
461
Half Precision Score
1210
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 10:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nothing A065 |
| Model ID | Nothing A065 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
100% |
1049
195.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1173
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1057
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
2303
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
1007
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (Q)
|
95% |
1833
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
832
6.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
840
6.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1909
17.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1811
2.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1643
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
5837
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
884
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.5 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.4 IPS |
|
|
Text Classification (Q)
|
88% |
440
593.2 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
50% |
297
10.5 IPS |
