Xiaomi Mi 5
Geekbench AI Score
10
Single Precision Score
10
Half Precision Score
5
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 05:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 820 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Mi 5 |
| Model ID | Xiaomi MI 5 |
| Motherboard | msm8996 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 1 part 517 revision 2 |
| Base Frequency | 1.36 GHz |
| Cluster 1 | 2 Cores @ 1.36 GHz |
| Cluster 2 | 2 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
604.3 IPS |
|
|
Image Classification (HP)
|
0% |
0
599.5 IPS |
|
|
Image Classification (Q)
|
0% |
0
461.5 IPS |
|
|
Image Segmentation (SP)
|
73% |
6313
109.1 IPS |
|
|
Image Segmentation (HP)
|
73% |
6397
110.6 IPS |
|
|
Image Segmentation (Q)
|
73% |
10328
178.5 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
169.7 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
210.8 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
409.2 IPS |
|
|
Object Detection (SP)
|
0% |
0
313.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
314.3 IPS |
|
|
Object Detection (Q)
|
0% |
0
226.4 IPS |
|
|
Face Detection (SP)
|
0% |
0
133.6 IPS |
|
|
Face Detection (HP)
|
0% |
0
130.1 IPS |
|
|
Face Detection (Q)
|
0% |
0
161.7 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
171.3 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
163.4 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
160.4 IPS |
|
|
Style Transfer (SP)
|
32% |
39982
501.5 IPS |
|
|
Style Transfer (HP)
|
32% |
39666
497.5 IPS |
|
|
Style Transfer (Q)
|
0% |
0
839.2 IPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
309.8 IPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
309.3 IPS |
|
|
Image Super-Resolution (Q)
|
2% |
30
351.3 IPS |
|
|
Text Classification (SP)
|
29% |
70
1.20 KIPS |
|
|
Text Classification (HP)
|
29% |
67
1.16 KIPS |
|
|
Text Classification (Q)
|
29% |
38
663.3 IPS |
|
|
Machine Translation (SP)
|
0% |
0
2.39 IPS |
|
|
Machine Translation (HP)
|
0% |
0
2.26 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.72 IPS |
