Xiaomi Mi 10 Ultra
Geekbench AI Score
262
Single Precision Score
177
Half Precision Score
1158
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 23 2024 03:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mi 10 Ultra |
| Model ID | Xiaomi M2007J1SC |
| Motherboard | cas |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.8 IPS |
|
|
Image Classification (Q)
|
97% |
1258
234.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1204
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1414
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5309
6.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
11318
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.59 IPS |
|
|
Object Detection (Q)
|
89% |
1318
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
75
0.89 IPS |
|
|
Face Detection (Q)
|
97% |
3077
36.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
172
1.33 IPS |
|
|
Depth Estimation (HP)
|
100% |
75
0.58 IPS |
|
|
Depth Estimation (Q)
|
46% |
2807
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
226
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
133
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
966
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4662
172.8 IPS |
|
|
Text Classification (SP)
|
71% |
8
10.9 IPS |
|
|
Text Classification (HP)
|
100% |
55
73.4 IPS |
|
|
Text Classification (Q)
|
93% |
75
101.4 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (Q)
|
54% |
66
1.86 IPS |
