Sony XQ-BC42
Geekbench ML Score
455
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 08:30 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Sony XQ-BC42 |
| Model ID | Sony XQ-BC42 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
311
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
309
33.1 IPS |
|
|
Image Classification (I8)
|
81% |
420
45.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
575
3.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
546
3.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
769
4.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
263
1.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
357
12.5 IPS |
|
|
Object Detection (F16)
|
100% |
351
12.3 IPS |
|
|
Object Detection (I8)
|
52% |
470
16.5 IPS |
|
|
Face Detection (F32)
|
100% |
472
5.42 IPS |
|
|
Face Detection (F16)
|
100% |
466
5.35 IPS |
|
|
Face Detection (I8)
|
75% |
565
6.49 IPS |
|
|
Text Classification (F32)
|
100% |
933
369.0 IPS |
|
|
Text Classification (F16)
|
100% |
933
369.0 IPS |
|
|
Machine Translation (F32)
|
100% |
744
114.6 IPS |
|
|
Machine Translation (F16)
|
100% |
740
114.0 IPS |
