Xiaomi 24018RPACG
Geekbench AI Score
1797
Single Precision Score
1784
Half Precision Score
2584
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DemonShell |
| Upload Date | February 28 2025 03:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
1653
307.4 IPS |
|
|
Image Classification (Q)
|
100% |
2246
417.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2630
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2725
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
5929
7.03 IPS |
|
|
Object Detection (SP)
|
98% |
1280
101.8 IPS |
|
|
Object Detection (HP)
|
98% |
1378
109.6 IPS |
|
|
Object Detection (Q)
|
83% |
2054
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
2332
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (Q)
|
95% |
3809
45.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2509
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2461
19.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3298
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7199
9.35 IPS |
|
|
Style Transfer (HP)
|
89% |
6050
7.85 IPS |
|
|
Style Transfer (Q)
|
98% |
10786
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2790
103.4 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.9 IPS |
|
|
Text Classification (HP)
|
99% |
537
717.0 IPS |
|
|
Text Classification (Q)
|
88% |
943
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
