redbeat redbeatM2
Geekbench AI Score
59
Single Precision Score
83
Half Precision Score
82
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 23 2025 11:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | redbeat redbeatM2 |
| Model ID | redbeat redbeatM2 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 6 Cores @ 1.82 GHz |
| Cluster 2 | 2 Cores @ 1.95 GHz |
| Memory Information | |
|---|---|
| Size | 7.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
37
6.90 IPS |
|
|
Image Classification (HP)
|
100% |
69
12.9 IPS |
|
|
Image Classification (Q)
|
99% |
68
12.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
53
0.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
94
1.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
36
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
42
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
31
2.44 IPS |
|
|
Object Detection (HP)
|
100% |
52
4.14 IPS |
|
|
Object Detection (Q)
|
83% |
53
4.27 IPS |
|
|
Face Detection (SP)
|
100% |
121
1.44 IPS |
|
|
Face Detection (HP)
|
100% |
183
2.18 IPS |
|
|
Face Detection (Q)
|
97% |
177
2.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
88
0.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
72
0.68 IPS |
|
|
Style Transfer (SP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
185
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
185
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34
1.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54
1.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
53
1.97 IPS |
|
|
Text Classification (SP)
|
100% |
65
86.1 IPS |
|
|
Text Classification (HP)
|
100% |
64
85.9 IPS |
|
|
Text Classification (Q)
|
91% |
101
135.3 IPS |
|
|
Machine Translation (SP)
|
100% |
110
1.89 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (Q)
|
57% |
85
2.07 IPS |
