Xiaomi 24018RPACG
Geekbench AI Score
1298
Single Precision Score
1413
Half Precision Score
1887
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Mladen |
| Upload Date | March 28 2026 09:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
947
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (Q)
|
99% |
1338
249.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1597
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2394
2.79 IPS |
|
|
Pose Estimation (HP)
|
92% |
4444
5.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
4102
4.81 IPS |
|
|
Object Detection (SP)
|
98% |
952
75.7 IPS |
|
|
Object Detection (HP)
|
97% |
672
53.5 IPS |
|
|
Object Detection (Q)
|
85% |
1132
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
2005
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
2011
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
3357
40.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2177
16.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2567
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2849
26.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4387
5.69 IPS |
|
|
Style Transfer (HP)
|
88% |
3875
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
11388
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1421
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1935
71.7 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.3 IPS |
|
|
Text Classification (HP)
|
100% |
495
660.5 IPS |
|
|
Text Classification (Q)
|
93% |
524
703.7 IPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
96% |
989
17.1 IPS |
|
|
Machine Translation (Q)
|
55% |
524
14.1 IPS |
