Sony SOG06
Geekbench AI Score
304
Single Precision Score
11944
Half Precision Score
31971
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 06 2026 03:28 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Sony SOG06 |
| Model ID | Sony SOG06 |
| 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 | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
187
34.7 IPS |
|
|
Image Classification (HP)
|
100% |
8400
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
23612
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
6505
105.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23296
378.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
35646
41.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
224008
262.6 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
7928
628.8 IPS |
|
|
Object Detection (Q)
|
87% |
14932
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
17831
211.9 IPS |
|
|
Face Detection (Q)
|
97% |
69361
827.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
28218
218.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
74137
681.3 IPS |
|
|
Style Transfer (SP)
|
100% |
667
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
38637
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
210078
270.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21695
801.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55782
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
263
351.6 IPS |
|
|
Text Classification (HP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (Q)
|
94% |
6099
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
447
7.69 IPS |
|
|
Machine Translation (HP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (Q)
|
52% |
1650
49.6 IPS |
