Xiaomi Mi 8
Geekbench AI Score
588
Single Precision Score
848
Half Precision Score
780
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Phizzle |
| Upload Date | October 29 2025 07:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Mi 8 |
| Model ID | Xiaomi MI 8 |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
99% |
544
101.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
843
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
3879
4.53 IPS |
|
|
Pose Estimation (Q)
|
97% |
3823
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
85% |
455
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
1577
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1360
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2020
15.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1660
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3379
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
5832
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
5691
7.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
914
33.9 IPS |
|
|
Text Classification (SP)
|
35% |
23
225.7 IPS |
|
|
Text Classification (HP)
|
35% |
38
346.1 IPS |
|
|
Text Classification (Q)
|
35% |
37
334.3 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (HP)
|
97% |
275
4.75 IPS |
|
|
Machine Translation (Q)
|
64% |
210
4.31 IPS |
