Xiaomi Redmi 3s
Geekbench AI Score
135
Single Precision Score
134
Half Precision Score
147
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | March 02 2026 06:01 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 430 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi Redmi 3s |
| Model ID | Xiaomi Redmi 3S |
| 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 | 1.40 GHz |
| Cluster 1 | 4 Cores @ 1.09 GHz |
| Cluster 2 | 4 Cores @ 1.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
69
12.8 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.0 IPS |
|
|
Image Classification (Q)
|
99% |
94
17.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
82
1.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
77
1.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
143
2.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
326
0.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
211
0.25 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.58 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.60 IPS |
|
|
Object Detection (Q)
|
85% |
96
7.77 IPS |
|
|
Face Detection (SP)
|
100% |
179
2.13 IPS |
|
|
Face Detection (HP)
|
100% |
182
2.16 IPS |
|
|
Face Detection (Q)
|
97% |
274
3.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
213
1.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
235
1.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
215
1.98 IPS |
|
|
Style Transfer (SP)
|
89% |
547
0.71 IPS |
|
|
Style Transfer (HP)
|
89% |
537
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
504
0.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
120
4.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
119
4.41 IPS |
|
|
Text Classification (SP)
|
100% |
68
90.5 IPS |
|
|
Text Classification (HP)
|
100% |
63
83.5 IPS |
|
|
Text Classification (Q)
|
93% |
78
104.9 IPS |
|
|
Machine Translation (SP)
|
100% |
95
1.64 IPS |
|
|
Machine Translation (HP)
|
100% |
95
1.64 IPS |
|
|
Machine Translation (Q)
|
55% |
66
1.77 IPS |
