Sony XQ-BT52
Geekbench ML Score
218
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Puffin |
| Upload Date | August 08 2021 11:08 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Sony XQ-BT52 |
| Model ID | Sony XQ-BT52 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.07 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
113
12.1 IPS |
|
|
Image Classification (F16)
|
100% |
106
11.3 IPS |
|
|
Image Classification (I8)
|
81% |
165
17.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
331
2.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
337
2.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
551
3.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
139
4.89 IPS |
|
|
Object Detection (F16)
|
100% |
142
4.99 IPS |
|
|
Object Detection (I8)
|
52% |
207
7.25 IPS |
|
|
Face Detection (F32)
|
100% |
283
3.25 IPS |
|
|
Face Detection (F16)
|
100% |
275
3.16 IPS |
|
|
Face Detection (I8)
|
75% |
348
4.00 IPS |
|
|
Text Classification (F32)
|
100% |
268
106.0 IPS |
|
|
Text Classification (F16)
|
100% |
270
106.8 IPS |
|
|
Machine Translation (F32)
|
100% |
324
49.9 IPS |
|
|
Machine Translation (F16)
|
100% |
324
49.9 IPS |
