Sony SO-41B
Geekbench AI Score
199
Single Precision Score
201
Half Precision Score
219
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | shimonocyou |
| Upload Date | September 18 2024 08:07 AM |
| Views | 1 |
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% |
67
12.5 IPS |
|
|
Image Classification (HP)
|
100% |
82
15.3 IPS |
|
|
Image Classification (Q)
|
100% |
151
28.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
257
4.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
383
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.23 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.58 IPS |
|
|
Object Detection (Q)
|
83% |
149
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
262
3.12 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.12 IPS |
|
|
Face Detection (Q)
|
95% |
441
5.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
334
2.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
319
2.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
362
3.32 IPS |
|
|
Style Transfer (SP)
|
89% |
998
1.30 IPS |
|
|
Style Transfer (HP)
|
89% |
1004
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
951
1.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
168
6.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
212
7.85 IPS |
|
|
Text Classification (SP)
|
100% |
120
159.7 IPS |
|
|
Text Classification (HP)
|
100% |
108
144.4 IPS |
|
|
Text Classification (Q)
|
88% |
62
83.4 IPS |
|
|
Machine Translation (SP)
|
100% |
124
2.14 IPS |
|
|
Machine Translation (HP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (Q)
|
50% |
59
2.08 IPS |
