Sony NW-A300Series
Geekbench AI Score
41
Single Precision Score
41
Half Precision Score
61
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 02:34 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Sony NW-A300Series |
| Model ID | Sony NW-A300Series |
| Motherboard | icx1301 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2049 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
22
4.08 IPS |
|
|
Image Classification (HP)
|
100% |
23
4.20 IPS |
|
|
Image Classification (Q)
|
99% |
38
7.12 IPS |
|
|
Image Segmentation (SP)
|
100% |
31
0.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
30
0.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
44
0.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
48
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
47
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
80
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
24
1.87 IPS |
|
|
Object Detection (HP)
|
100% |
24
1.88 IPS |
|
|
Object Detection (Q)
|
87% |
40
3.25 IPS |
|
|
Face Detection (SP)
|
100% |
59
0.71 IPS |
|
|
Face Detection (HP)
|
100% |
60
0.71 IPS |
|
|
Face Detection (Q)
|
97% |
100
1.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
55
0.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
56
0.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
80
0.72 IPS |
|
|
Style Transfer (SP)
|
100% |
103
0.13 IPS |
|
|
Style Transfer (HP)
|
100% |
104
0.13 IPS |
|
|
Style Transfer (Q)
|
98% |
188
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28
1.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28
1.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
49
1.83 IPS |
|
|
Text Classification (SP)
|
100% |
34
45.0 IPS |
|
|
Text Classification (HP)
|
100% |
34
45.1 IPS |
|
|
Text Classification (Q)
|
91% |
46
61.4 IPS |
|
|
Machine Translation (SP)
|
100% |
60
1.04 IPS |
|
|
Machine Translation (HP)
|
100% |
61
1.05 IPS |
|
|
Machine Translation (Q)
|
57% |
44
1.07 IPS |
