Xiaomi Mi 10 Ultra
Geekbench AI Score
316
Single Precision Score
315
Half Precision Score
630
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 22 2024 02:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.3 IPS |
|
|
Image Classification (Q)
|
100% |
483
89.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
506
8.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1104
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
87% |
464
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (Q)
|
95% |
885
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
537
4.14 IPS |
|
|
Depth Estimation (HP)
|
100% |
542
4.18 IPS |
|
|
Depth Estimation (Q)
|
75% |
1144
9.28 IPS |
|
|
Style Transfer (SP)
|
89% |
1129
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1115
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2581
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
636
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.1 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (Q)
|
88% |
286
385.8 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (Q)
|
50% |
168
5.97 IPS |
