Sony A204SO
Geekbench AI Score
361
Single Precision Score
359
Half Precision Score
757
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 05:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Sony A204SO |
| Model ID | Sony A204SO |
| 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 | 6.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
535
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
546
8.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
1738
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
481
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
495
5.88 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.91 IPS |
|
|
Face Detection (Q)
|
95% |
1168
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
663
5.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1310
12.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1255
1.63 IPS |
|
|
Style Transfer (HP)
|
89% |
1271
1.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3120
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
829
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
189
251.7 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.9 IPS |
|
|
Text Classification (Q)
|
88% |
320
431.5 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
50% |
200
7.09 IPS |
