Xiaomi 21051182G
Geekbench AI Score
296
Single Precision Score
292
Half Precision Score
597
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kicsipapucs |
| Upload Date | July 20 2025 12:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
176
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.3 IPS |
|
|
Image Classification (Q)
|
100% |
457
85.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
511
8.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
626
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1156
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
83% |
387
31.2 IPS |
|
|
Face Detection (SP)
|
100% |
336
3.99 IPS |
|
|
Face Detection (HP)
|
100% |
333
3.96 IPS |
|
|
Face Detection (Q)
|
95% |
779
9.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
492
3.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
966
8.85 IPS |
|
|
Style Transfer (SP)
|
89% |
1096
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1095
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2428
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
270
9.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.3 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.2 IPS |
|
|
Text Classification (Q)
|
88% |
275
371.3 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
50% |
177
6.29 IPS |
