Xiaomi MI 6
Geekbench AI Score
70
Single Precision Score
64
Half Precision Score
96
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | y0n9le |
| Upload Date | April 21 2025 02:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 835 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi MI 6 |
| Model ID | Xiaomi MI 6 |
| Motherboard | msm8998 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.46 GHz |
| Memory Information | |
|---|---|
| Size | 5.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
49
9.11 IPS |
|
|
Image Classification (HP)
|
100% |
49
9.16 IPS |
|
|
Image Classification (Q)
|
99% |
84
15.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
66
1.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
93
1.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
96
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
90
0.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
177
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
48
3.79 IPS |
|
|
Object Detection (HP)
|
100% |
44
3.51 IPS |
|
|
Object Detection (Q)
|
87% |
72
5.78 IPS |
|
|
Face Detection (SP)
|
100% |
115
1.37 IPS |
|
|
Face Detection (HP)
|
100% |
117
1.39 IPS |
|
|
Face Detection (Q)
|
97% |
172
2.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
102
0.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
101
0.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
157
1.43 IPS |
|
|
Style Transfer (SP)
|
100% |
192
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
192
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
398
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52
1.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27
1.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
42
1.54 IPS |
|
|
Text Classification (SP)
|
100% |
30
39.5 IPS |
|
|
Text Classification (HP)
|
100% |
30
39.6 IPS |
|
|
Text Classification (Q)
|
91% |
37
49.4 IPS |
|
|
Machine Translation (SP)
|
100% |
57
0.99 IPS |
|
|
Machine Translation (HP)
|
100% |
56
0.96 IPS |
|
|
Machine Translation (Q)
|
57% |
42
1.02 IPS |
