Sony NW-A300Series
Geekbench AI Score
214
Single Precision Score
211
Half Precision Score
229
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 11:38 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (Q)
|
100% |
145
26.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
211
3.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
336
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.04 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.36 IPS |
|
|
Object Detection (Q)
|
83% |
147
11.9 IPS |
|
|
Face Detection (SP)
|
100% |
273
3.25 IPS |
|
|
Face Detection (HP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (Q)
|
95% |
413
4.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
350
2.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
307
2.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
346
3.17 IPS |
|
|
Style Transfer (SP)
|
89% |
880
1.14 IPS |
|
|
Style Transfer (HP)
|
89% |
883
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
856
1.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
195
7.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
198
7.33 IPS |
|
|
Text Classification (SP)
|
100% |
111
147.8 IPS |
|
|
Text Classification (HP)
|
100% |
110
147.2 IPS |
|
|
Text Classification (Q)
|
88% |
133
179.9 IPS |
|
|
Machine Translation (SP)
|
100% |
171
2.95 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.78 IPS |
|
|
Machine Translation (Q)
|
50% |
83
2.94 IPS |
