Xiaomi 24018RPACG
Geekbench AI Score
1042
Single Precision Score
1025
Half Precision Score
1628
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | MutnuyHavy |
| Upload Date | September 18 2024 02:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24018RPACG |
| Model ID | Xiaomi 24018RPACG |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1006
187.1 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.3 IPS |
|
|
Image Classification (Q)
|
100% |
1333
247.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1231
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1873
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
3001
3.56 IPS |
|
|
Object Detection (SP)
|
98% |
687
54.7 IPS |
|
|
Object Detection (HP)
|
98% |
719
57.2 IPS |
|
|
Object Detection (Q)
|
83% |
1352
109.2 IPS |
|
|
Face Detection (SP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2165
25.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1258
9.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1424
11.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2672
24.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3643
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3635
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
6824
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
968
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1539
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.9 IPS |
|
|
Text Classification (HP)
|
99% |
413
551.9 IPS |
|
|
Text Classification (Q)
|
88% |
701
946.0 IPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
463
16.4 IPS |
