Xiaomi Mi 11
Geekbench AI Score
316
Single Precision Score
680
Half Precision Score
87
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 20 2025 03:19 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Mi 11 |
| Model ID | Xiaomi M2011K2G |
| Motherboard | venus |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Venus |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
972
180.8 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.23 IPS |
|
|
Image Segmentation (SP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1485
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5296
6.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
954
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
99% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
2% |
7
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
349
4.15 IPS |
|
|
Face Detection (Q)
|
97% |
698
8.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
383
2.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
246
1.90 IPS |
|
|
Depth Estimation (Q)
|
5% |
41
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1433
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
414
0.53 IPS |
|
|
Style Transfer (Q)
|
18% |
12
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.51 IPS |
|
|
Text Classification (SP)
|
100% |
1
1.58 IPS |
|
|
Text Classification (HP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (Q)
|
93% |
26
34.3 IPS |
|
|
Machine Translation (SP)
|
100% |
119
2.05 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.95 IPS |
