XREAL Beam
Geekbench ML Score
50
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | May 07 2024 02:16 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
43
4.61 IPS |
|
|
Image Classification (F16)
|
100% |
43
4.61 IPS |
|
|
Image Classification (I8)
|
81% |
51
5.47 IPS |
|
|
Image Segmentation (F32)
|
100% |
83
0.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
84
0.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
93
0.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
15
0.06 IPS |
|
|
Object Detection (F32)
|
100% |
65
2.30 IPS |
|
|
Object Detection (F16)
|
100% |
66
2.31 IPS |
|
|
Object Detection (I8)
|
52% |
72
2.53 IPS |
|
|
Face Detection (F32)
|
100% |
79
0.91 IPS |
|
|
Face Detection (F16)
|
100% |
79
0.91 IPS |
|
|
Face Detection (I8)
|
75% |
75
0.86 IPS |
|
|
Text Classification (F32)
|
100% |
79
31.3 IPS |
|
|
Text Classification (F16)
|
100% |
79
31.3 IPS |
|
|
Machine Translation (F32)
|
100% |
13
2.07 IPS |
|
|
Machine Translation (F16)
|
100% |
13
2.07 IPS |
