Xiaomi MI 6
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
8
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 19 2025 07:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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)
|
0% |
0
2.41 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.40 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.22 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15164
262.1 IPS |
|
|
Image Segmentation (HP)
|
73% |
15176
262.3 IPS |
|
|
Image Segmentation (Q)
|
73% |
30369
524.8 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
615.7 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
594.4 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.86 KIPS |
|
|
Object Detection (SP)
|
0% |
0
910.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
906.1 IPS |
|
|
Object Detection (Q)
|
0% |
0
693.0 IPS |
|
|
Face Detection (SP)
|
0% |
0
320.9 IPS |
|
|
Face Detection (HP)
|
0% |
0
319.8 IPS |
|
|
Face Detection (Q)
|
0% |
0
436.9 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
623.6 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
607.9 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
561.7 IPS |
|
|
Style Transfer (SP)
|
32% |
103424
1.30 KIPS |
|
|
Style Transfer (HP)
|
32% |
91465
1.15 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
4.98 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
229
2.70 KIPS |
|
|
Text Classification (SP)
|
29% |
425
7.34 KIPS |
|
|
Text Classification (HP)
|
29% |
450
7.78 KIPS |
|
|
Text Classification (Q)
|
29% |
304
5.25 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.53 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.43 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.02 IPS |
