Xiaomi 2201116SG
Geekbench AI Score
192
Single Precision Score
190
Half Precision Score
638
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2201116SG |
| Model ID | Xiaomi 2201116SG |
| Motherboard | veux |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.3 IPS |
|
|
Image Classification (Q)
|
96% |
722
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
891
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
204
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
5122
6.00 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.90 IPS |
|
|
Object Detection (Q)
|
84% |
836
67.4 IPS |
|
|
Face Detection (SP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (Q)
|
97% |
1511
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
242
1.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
234
1.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
3082
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
400
0.51 IPS |
|
|
Style Transfer (HP)
|
100% |
403
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
8371
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
432
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
168
223.9 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.1 IPS |
|
|
Text Classification (Q)
|
93% |
242
324.7 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.62 IPS |
