Xiaomi Redmi 3s
Geekbench AI Score
29
Single Precision Score
29
Half Precision Score
43
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | March 03 2026 09:54 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
17
3.07 IPS |
|
|
Image Classification (HP)
|
100% |
17
3.09 IPS |
|
|
Image Classification (Q)
|
99% |
27
5.13 IPS |
|
|
Image Segmentation (SP)
|
100% |
22
0.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
22
0.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
32
0.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
35
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
35
0.04 IPS |
|
|
Pose Estimation (Q)
|
98% |
57
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
17
1.35 IPS |
|
|
Object Detection (HP)
|
100% |
17
1.36 IPS |
|
|
Object Detection (Q)
|
87% |
28
2.28 IPS |
|
|
Face Detection (SP)
|
100% |
42
0.50 IPS |
|
|
Face Detection (HP)
|
100% |
42
0.50 IPS |
|
|
Face Detection (Q)
|
97% |
71
0.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
40
0.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
40
0.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
56
0.51 IPS |
|
|
Style Transfer (SP)
|
100% |
75
0.10 IPS |
|
|
Style Transfer (HP)
|
100% |
75
0.10 IPS |
|
|
Style Transfer (Q)
|
98% |
132
0.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20
0.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20
0.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
34
1.28 IPS |
|
|
Text Classification (SP)
|
100% |
24
32.0 IPS |
|
|
Text Classification (HP)
|
100% |
24
31.9 IPS |
|
|
Text Classification (Q)
|
91% |
32
43.6 IPS |
|
|
Machine Translation (SP)
|
100% |
43
0.75 IPS |
|
|
Machine Translation (HP)
|
100% |
43
0.75 IPS |
|
|
Machine Translation (Q)
|
57% |
30
0.75 IPS |
