Xiaomi Redmi 3s
Geekbench AI Score
41
Single Precision Score
78
Half Precision Score
74
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | March 02 2026 07:59 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
28
5.24 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.3 IPS |
|
|
Image Classification (Q)
|
99% |
63
11.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
38
0.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
80
1.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
82
1.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
253
0.29 IPS |
|
|
Pose Estimation (Q)
|
97% |
251
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
23
1.85 IPS |
|
|
Object Detection (HP)
|
99% |
49
3.90 IPS |
|
|
Object Detection (Q)
|
85% |
52
4.16 IPS |
|
|
Face Detection (SP)
|
100% |
91
1.08 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.19 IPS |
|
|
Face Detection (Q)
|
97% |
162
1.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
87
0.67 IPS |
|
|
Depth Estimation (HP)
|
98% |
160
1.23 IPS |
|
|
Depth Estimation (Q)
|
65% |
136
1.22 IPS |
|
|
Style Transfer (SP)
|
100% |
209
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
355
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
320
0.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37
1.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65
2.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
64
2.38 IPS |
|
|
Text Classification (SP)
|
35% |
2
16.7 IPS |
|
|
Text Classification (HP)
|
35% |
4
32.8 IPS |
|
|
Text Classification (Q)
|
35% |
4
32.0 IPS |
|
|
Machine Translation (SP)
|
100% |
35
0.60 IPS |
|
|
Machine Translation (HP)
|
97% |
52
0.89 IPS |
|
|
Machine Translation (Q)
|
64% |
44
0.91 IPS |
