redbeat redbeatM2
Geekbench AI Score
140
Single Precision Score
167
Half Precision Score
184
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 23 2025 10:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
67
12.6 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.4 IPS |
|
|
Image Classification (Q)
|
97% |
125
23.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
107
1.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
174
2.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
503
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
488
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
58
4.60 IPS |
|
|
Object Detection (HP)
|
99% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
86% |
124
9.96 IPS |
|
|
Face Detection (SP)
|
100% |
272
3.23 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
97% |
263
3.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
98% |
333
2.57 IPS |
|
|
Depth Estimation (Q)
|
65% |
398
3.55 IPS |
|
|
Style Transfer (SP)
|
100% |
378
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
193
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
646
0.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
225
8.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
240
8.88 IPS |
|
|
Text Classification (SP)
|
100% |
22
29.2 IPS |
|
|
Text Classification (HP)
|
100% |
64
85.4 IPS |
|
|
Text Classification (Q)
|
93% |
36
48.6 IPS |
|
|
Machine Translation (SP)
|
100% |
77
1.33 IPS |
|
|
Machine Translation (HP)
|
100% |
109
1.88 IPS |
|
|
Machine Translation (Q)
|
55% |
58
1.53 IPS |
