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
| User | y0n9le |
| Upload Date | April 20 2025 05:59 PM |
| Views | 18 |
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
2.28 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.21 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.29 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15204
262.7 IPS |
|
|
Image Segmentation (HP)
|
73% |
15141
261.7 IPS |
|
|
Image Segmentation (Q)
|
73% |
30850
533.1 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
588.7 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
607.4 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.84 KIPS |
|
|
Object Detection (SP)
|
0% |
0
900.2 IPS |
|
|
Object Detection (HP)
|
0% |
0
897.0 IPS |
|
|
Object Detection (Q)
|
0% |
0
685.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
324.2 IPS |
|
|
Face Detection (HP)
|
0% |
0
324.6 IPS |
|
|
Face Detection (Q)
|
0% |
0
446.7 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
607.7 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
639.3 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
556.1 IPS |
|
|
Style Transfer (SP)
|
32% |
101336
1.27 KIPS |
|
|
Style Transfer (HP)
|
32% |
102718
1.29 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
5.11 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
232
2.73 KIPS |
|
|
Text Classification (SP)
|
29% |
425
7.34 KIPS |
|
|
Text Classification (HP)
|
29% |
449
7.75 KIPS |
|
|
Text Classification (Q)
|
29% |
315
5.45 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.51 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.39 IPS |
|
|
Machine Translation (Q)
|
0% |
0
4.96 IPS |
