Xiaomi Mix 2S
Geekbench AI Score
212
Single Precision Score
135
Half Precision Score
186
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 06:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.2 IPS |
|
|
Image Classification (Q)
|
99% |
91
17.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
82
1.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
108
1.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1802
2.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
209
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.86 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.87 IPS |
|
|
Object Detection (Q)
|
87% |
96
7.69 IPS |
|
|
Face Detection (SP)
|
100% |
789
9.38 IPS |
|
|
Face Detection (HP)
|
100% |
158
1.87 IPS |
|
|
Face Detection (Q)
|
97% |
225
2.69 IPS |
|
|
Depth Estimation (SP)
|
99% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
134
1.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
181
1.65 IPS |
|
|
Style Transfer (SP)
|
100% |
243
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
243
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
432
0.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64
2.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1914
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
77
102.3 IPS |
|
|
Text Classification (HP)
|
100% |
77
102.2 IPS |
|
|
Text Classification (Q)
|
91% |
89
119.1 IPS |
|
|
Machine Translation (SP)
|
100% |
136
2.35 IPS |
|
|
Machine Translation (HP)
|
100% |
136
2.35 IPS |
|
|
Machine Translation (Q)
|
57% |
84
2.06 IPS |
