Xiaomi Redmi 8A
Geekbench AI Score
55
Single Precision Score
107
Half Precision Score
101
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 09:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Redmi 8A |
| Model ID | Xiaomi Redmi 8A |
| Motherboard | MSM8937 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 1.46 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
39
7.32 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.7 IPS |
|
|
Image Classification (Q)
|
99% |
85
15.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
53
0.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
113
1.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
180
0.21 IPS |
|
|
Pose Estimation (HP)
|
99% |
354
0.41 IPS |
|
|
Pose Estimation (Q)
|
97% |
352
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
33
2.61 IPS |
|
|
Object Detection (HP)
|
99% |
69
5.44 IPS |
|
|
Object Detection (Q)
|
85% |
71
5.71 IPS |
|
|
Face Detection (SP)
|
100% |
127
1.51 IPS |
|
|
Face Detection (HP)
|
100% |
253
3.00 IPS |
|
|
Face Detection (Q)
|
97% |
221
2.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
123
0.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
222
1.71 IPS |
|
|
Depth Estimation (Q)
|
65% |
188
1.69 IPS |
|
|
Style Transfer (SP)
|
100% |
291
0.37 IPS |
|
|
Style Transfer (HP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
449
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52
1.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
90
3.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
89
3.32 IPS |
|
|
Text Classification (SP)
|
35% |
2
23.2 IPS |
|
|
Text Classification (HP)
|
35% |
5
44.9 IPS |
|
|
Text Classification (Q)
|
35% |
5
43.7 IPS |
|
|
Machine Translation (SP)
|
100% |
49
0.84 IPS |
|
|
Machine Translation (HP)
|
97% |
71
1.23 IPS |
|
|
Machine Translation (Q)
|
64% |
60
1.23 IPS |
