Sony XQ-BC72
Geekbench ML Score
423
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 03 2023 04:27 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
451
48.3 IPS |
|
|
Image Classification (F16)
|
100% |
306
32.7 IPS |
|
|
Image Classification (I8)
|
81% |
177
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
632
3.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
623
3.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
827
5.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
297
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
289
1.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
244
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
411
14.4 IPS |
|
|
Object Detection (F16)
|
100% |
369
12.9 IPS |
|
|
Object Detection (I8)
|
52% |
277
9.73 IPS |
|
|
Face Detection (F32)
|
100% |
639
7.34 IPS |
|
|
Face Detection (F16)
|
100% |
631
7.24 IPS |
|
|
Face Detection (I8)
|
75% |
454
5.22 IPS |
|
|
Text Classification (F32)
|
100% |
341
135.0 IPS |
|
|
Text Classification (F16)
|
100% |
332
131.4 IPS |
|
|
Machine Translation (F32)
|
100% |
753
116.0 IPS |
|
|
Machine Translation (F16)
|
100% |
753
116.0 IPS |
