Xiaomi Mix 2S
Geekbench AI Score
217
Single Precision Score
142
Half Precision Score
189
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | January 06 2026 11:10 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
249
46.4 IPS |
|
|
Image Classification (HP)
|
100% |
71
13.3 IPS |
|
|
Image Classification (Q)
|
99% |
104
19.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
107
1.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
993
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
207
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.85 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.85 IPS |
|
|
Object Detection (Q)
|
87% |
96
7.74 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (HP)
|
100% |
160
1.90 IPS |
|
|
Face Detection (Q)
|
97% |
229
2.73 IPS |
|
|
Depth Estimation (SP)
|
99% |
258
1.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
136
1.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
198
1.79 IPS |
|
|
Style Transfer (SP)
|
100% |
260
0.33 IPS |
|
|
Style Transfer (HP)
|
100% |
253
0.33 IPS |
|
|
Style Transfer (Q)
|
98% |
449
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1593
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.8 IPS |
|
|
Text Classification (HP)
|
100% |
80
106.7 IPS |
|
|
Text Classification (Q)
|
91% |
94
125.9 IPS |
|
|
Machine Translation (SP)
|
100% |
143
2.46 IPS |
|
|
Machine Translation (HP)
|
100% |
144
2.47 IPS |
|
|
Machine Translation (Q)
|
57% |
87
2.13 IPS |
