Xiaomi Mi 10 Ultra
Geekbench AI Score
103
Single Precision Score
91
Half Precision Score
378
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | purplecje |
| Upload Date | November 05 2024 09:08 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 15.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (HP)
|
100% |
70
13.1 IPS |
|
|
Image Classification (Q)
|
96% |
1240
231.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
95
1.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1257
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
129
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
103
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
13262
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
47
3.70 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.27 IPS |
|
|
Object Detection (Q)
|
84% |
1455
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
182
2.16 IPS |
|
|
Face Detection (HP)
|
100% |
187
2.22 IPS |
|
|
Face Detection (Q)
|
97% |
2127
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
119
0.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
70
0.54 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
202
0.26 IPS |
|
|
Style Transfer (HP)
|
100% |
168
0.22 IPS |
|
|
Style Transfer (Q)
|
98% |
18780
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56
2.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47
1.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
168
6.22 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.2 IPS |
|
|
Text Classification (HP)
|
100% |
67
89.7 IPS |
|
|
Text Classification (Q)
|
93% |
297
398.9 IPS |
|
|
Machine Translation (SP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (HP)
|
100% |
144
2.48 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.32 IPS |
