Xiaomi Mix 2S
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
9
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | January 06 2026 10:38 PM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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)
|
0% |
0
2.61 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.57 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.64 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15819
273.4 IPS |
|
|
Image Segmentation (HP)
|
73% |
16372
282.9 IPS |
|
|
Image Segmentation (Q)
|
73% |
39847
688.6 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
844.0 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
871.6 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
2.04 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.08 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.05 KIPS |
|
|
Object Detection (Q)
|
0% |
0
923.1 IPS |
|
|
Face Detection (SP)
|
0% |
0
333.3 IPS |
|
|
Face Detection (HP)
|
0% |
0
334.0 IPS |
|
|
Face Detection (Q)
|
0% |
0
548.8 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
888.9 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
854.0 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
785.5 IPS |
|
|
Style Transfer (SP)
|
32% |
129148
1.62 KIPS |
|
|
Style Transfer (HP)
|
32% |
128698
1.61 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.47 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
264
3.12 KIPS |
|
|
Text Classification (SP)
|
29% |
429
7.41 KIPS |
|
|
Text Classification (HP)
|
29% |
415
7.17 KIPS |
|
|
Text Classification (Q)
|
29% |
381
6.58 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.95 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.63 IPS |
|
|
Machine Translation (Q)
|
0% |
0
6.06 IPS |
