Xiaomi Mi Mix 2
Geekbench AI Score
12
Single Precision Score
12
Half Precision Score
8
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 05:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 835 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Mi Mix 2 |
| Model ID | Xiaomi Mi MIX 2 |
| 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
2.17 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.37 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.11 KIPS |
|
|
Image Segmentation (SP)
|
73% |
4331
74.8 IPS |
|
|
Image Segmentation (HP)
|
73% |
14780
255.4 IPS |
|
|
Image Segmentation (Q)
|
73% |
30426
525.8 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
609.7 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
234.1 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.85 KIPS |
|
|
Object Detection (SP)
|
0% |
0
291.7 IPS |
|
|
Object Detection (HP)
|
0% |
0
484.0 IPS |
|
|
Object Detection (Q)
|
0% |
0
679.6 IPS |
|
|
Face Detection (SP)
|
0% |
0
105.5 IPS |
|
|
Face Detection (HP)
|
0% |
0
305.8 IPS |
|
|
Face Detection (Q)
|
0% |
0
383.9 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
605.7 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
599.3 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
551.8 IPS |
|
|
Style Transfer (SP)
|
32% |
37503
470.4 IPS |
|
|
Style Transfer (HP)
|
32% |
38253
479.8 IPS |
|
|
Style Transfer (Q)
|
0% |
0
4.87 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
229
2.70 KIPS |
|
|
Text Classification (SP)
|
29% |
455
7.86 KIPS |
|
|
Text Classification (HP)
|
29% |
155
2.67 KIPS |
|
|
Text Classification (Q)
|
29% |
305
5.27 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.44 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.37 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.87 IPS |
