XREAL Beam
Geekbench ML Score
64
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | May 07 2024 12:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | XREAL Beam |
| Model ID | XREAL Beam |
| Motherboard | rk30sdk |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM rockchip,rk3568 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
43
4.57 IPS |
|
|
Image Classification (F16)
|
100% |
44
4.69 IPS |
|
|
Image Classification (I8)
|
81% |
117
12.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
94
0.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
93
0.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
231
1.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
34
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
34
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
44
0.18 IPS |
|
|
Object Detection (F32)
|
100% |
64
2.24 IPS |
|
|
Object Detection (F16)
|
100% |
64
2.25 IPS |
|
|
Object Detection (I8)
|
52% |
167
5.85 IPS |
|
|
Face Detection (F32)
|
100% |
97
1.11 IPS |
|
|
Face Detection (F16)
|
100% |
97
1.11 IPS |
|
|
Face Detection (I8)
|
75% |
176
2.02 IPS |
|
|
Text Classification (F32)
|
100% |
76
29.9 IPS |
|
|
Text Classification (F16)
|
100% |
76
30.2 IPS |
|
|
Machine Translation (F32)
|
100% |
13
2.03 IPS |
|
|
Machine Translation (F16)
|
100% |
13
2.02 IPS |
