Xiaomi Mi 10
Geekbench AI Score
360
Single Precision Score
607
Half Precision Score
628
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 10:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Mi 10 |
| Model ID | Xiaomi Mi 10 |
| Motherboard | umi |
| 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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
97% |
359
67.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
631
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
976
1.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
970
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
89% |
253
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
593
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
1326
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
575
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
1096
8.47 IPS |
|
|
Depth Estimation (Q)
|
62% |
888
8.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1105
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2809
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
2763
3.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
529
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.3 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.9 IPS |
|
|
Text Classification (Q)
|
91% |
334
448.4 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (Q)
|
57% |
301
7.35 IPS |
