Xiaomi Mi 11
Geekbench AI Score
322
Single Precision Score
332
Half Precision Score
339
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 13 2024 10:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (Q)
|
97% |
289
54.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
283
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (Q)
|
89% |
224
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
1059
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
733
5.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
859
6.64 IPS |
|
|
Depth Estimation (Q)
|
62% |
697
6.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1579
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2566
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
2583
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
361
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.0 IPS |
|
|
Text Classification (HP)
|
100% |
52
68.9 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.8 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
