Sony XQ-BC72
Geekbench ML Score
445
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 03 2023 04:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Sony XQ-BC72 |
| Model ID | Sony XQ-BC72 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
298
31.9 IPS |
|
|
Image Classification (F16)
|
100% |
278
29.8 IPS |
|
|
Image Classification (I8)
|
81% |
422
45.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
581
3.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
560
3.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
771
4.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
278
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
271
1.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
308
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
309
10.8 IPS |
|
|
Object Detection (I8)
|
52% |
474
16.7 IPS |
|
|
Face Detection (F32)
|
100% |
439
5.04 IPS |
|
|
Face Detection (F16)
|
100% |
429
4.93 IPS |
|
|
Face Detection (I8)
|
75% |
569
6.54 IPS |
|
|
Text Classification (F32)
|
100% |
932
368.6 IPS |
|
|
Text Classification (F16)
|
100% |
932
368.5 IPS |
|
|
Machine Translation (F32)
|
100% |
756
116.5 IPS |
|
|
Machine Translation (F16)
|
100% |
756
116.6 IPS |
