Sony SO-41B
Geekbench AI Score
219
Single Precision Score
233
Half Precision Score
247
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | shimonocyou |
| Upload Date | October 20 2024 08:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/WA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Sony SO-41B |
| Model ID | Sony SO-41B |
| Motherboard | huaihe212 |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/WA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
100% |
167
31.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
252
4.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
431
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.13 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (Q)
|
83% |
179
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
95% |
497
5.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
352
2.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
401
3.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
377
3.46 IPS |
|
|
Style Transfer (SP)
|
89% |
1083
1.41 IPS |
|
|
Style Transfer (HP)
|
89% |
987
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
938
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
178
6.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
222
8.24 IPS |
|
|
Text Classification (SP)
|
100% |
106
141.3 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.2 IPS |
|
|
Text Classification (Q)
|
88% |
108
145.9 IPS |
|
|
Machine Translation (SP)
|
100% |
147
2.53 IPS |
|
|
Machine Translation (HP)
|
100% |
149
2.56 IPS |
|
|
Machine Translation (Q)
|
50% |
64
2.26 IPS |
