Xiaomi Redmi 4
Geekbench AI Score
146
Single Precision Score
146
Half Precision Score
148
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 26 2024 05:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 430 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Redmi 4 |
| Model ID | Xiaomi Redmi 4 |
| 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 | 2.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
66
12.2 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.4 IPS |
|
|
Image Classification (Q)
|
100% |
116
21.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
93
1.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
144
2.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
224
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.55 IPS |
|
|
Object Detection (HP)
|
100% |
69
5.45 IPS |
|
|
Object Detection (Q)
|
83% |
107
8.68 IPS |
|
|
Face Detection (SP)
|
100% |
185
2.19 IPS |
|
|
Face Detection (HP)
|
100% |
192
2.28 IPS |
|
|
Face Detection (Q)
|
95% |
277
3.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
257
1.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
219
2.00 IPS |
|
|
Style Transfer (SP)
|
89% |
579
0.75 IPS |
|
|
Style Transfer (HP)
|
89% |
575
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
537
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
143
5.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.67 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
122
4.54 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.4 IPS |
|
|
Text Classification (HP)
|
100% |
76
101.5 IPS |
|
|
Text Classification (Q)
|
88% |
73
99.0 IPS |
|
|
Machine Translation (SP)
|
100% |
102
1.76 IPS |
|
|
Machine Translation (HP)
|
100% |
97
1.68 IPS |
|
|
Machine Translation (Q)
|
50% |
45
1.61 IPS |
