Xiaomi Mi 11 Ultra
Geekbench AI Score
317
Single Precision Score
354
Half Precision Score
49
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 18 2024 07:10 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mi 11 Ultra |
| Model ID | Xiaomi M2102K1G |
| Motherboard | star |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Star |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (HP)
|
100% |
835
155.2 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
84
1.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
1491
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5433
6.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
245
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
99% |
787
62.4 IPS |
|
|
Object Detection (Q)
|
2% |
9
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
77
0.91 IPS |
|
|
Face Detection (Q)
|
97% |
201
2.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
168
1.29 IPS |
|
|
Depth Estimation (HP)
|
100% |
73
0.56 IPS |
|
|
Depth Estimation (Q)
|
4% |
29
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
621
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
132
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.51 IPS |
|
|
Text Classification (SP)
|
100% |
5
7.20 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.4 IPS |
|
|
Text Classification (Q)
|
93% |
27
36.3 IPS |
|
|
Machine Translation (SP)
|
100% |
89
1.53 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.85 IPS |
