Xiaomi Redmi 8A
Geekbench AI Score
241
Single Precision Score
242
Half Precision Score
267
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
131
24.4 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (Q)
|
100% |
214
39.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
276
4.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
612
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
417
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.87 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
83% |
190
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
95% |
484
5.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
414
3.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
401
3.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
422
3.87 IPS |
|
|
Style Transfer (SP)
|
89% |
1005
1.30 IPS |
|
|
Style Transfer (HP)
|
89% |
1008
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
920
1.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
186
6.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
189
6.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
236
8.75 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.7 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.3 IPS |
|
|
Text Classification (Q)
|
88% |
122
164.7 IPS |
|
|
Machine Translation (SP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (Q)
|
50% |
74
2.64 IPS |
