Xiaomi Mix 2S
Geekbench AI Score
590
Single Precision Score
852
Half Precision Score
789
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | January 06 2026 10:44 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Mix 2S |
| Model ID | Xiaomi Mi MIX 2S |
| 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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
586
109.0 IPS |
|
|
Image Classification (Q)
|
99% |
549
102.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
856
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2558
2.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
3882
4.53 IPS |
|
|
Pose Estimation (Q)
|
97% |
3801
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
481
38.2 IPS |
|
|
Object Detection (Q)
|
85% |
463
37.2 IPS |
|
|
Face Detection (SP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
1599
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1369
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2037
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1666
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3393
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
5843
7.51 IPS |
|
|
Style Transfer (Q)
|
98% |
5719
7.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
927
34.3 IPS |
|
|
Text Classification (SP)
|
35% |
23
226.8 IPS |
|
|
Text Classification (HP)
|
35% |
38
348.6 IPS |
|
|
Text Classification (Q)
|
35% |
38
344.8 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (HP)
|
97% |
280
4.84 IPS |
|
|
Machine Translation (Q)
|
64% |
211
4.33 IPS |
