Xiaomi 21051182G
Geekbench AI Score
676
Single Precision Score
992
Half Precision Score
883
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kicsipapucs |
| Upload Date | July 20 2025 12:36 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 21051182G |
| Model ID | Xiaomi 21051182G |
| Motherboard | nabu |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.2 IPS |
|
|
Image Classification (Q)
|
99% |
714
133.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3410
3.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
5716
6.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
5462
6.40 IPS |
|
|
Object Detection (SP)
|
100% |
359
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
482
38.2 IPS |
|
|
Object Detection (Q)
|
85% |
458
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1758
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1550
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2437
18.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2021
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4235
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
7830
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7409
9.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1024
37.9 IPS |
|
|
Text Classification (SP)
|
35% |
25
244.8 IPS |
|
|
Text Classification (HP)
|
35% |
47
426.9 IPS |
|
|
Text Classification (Q)
|
35% |
40
366.0 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.63 IPS |
|
|
Machine Translation (HP)
|
97% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
64% |
165
3.39 IPS |
