Xiaomi 24018RPACG
Geekbench AI Score
2118
Single Precision Score
2086
Half Precision Score
3318
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 01:11 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1746
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.5 IPS |
|
|
Image Classification (Q)
|
100% |
2910
541.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2973
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2965
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2882
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6508
7.72 IPS |
|
|
Object Detection (SP)
|
98% |
1604
127.6 IPS |
|
|
Object Detection (HP)
|
98% |
1611
128.2 IPS |
|
|
Object Detection (Q)
|
83% |
2425
195.9 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
5472
65.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2957
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2953
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5350
49.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7192
9.34 IPS |
|
|
Style Transfer (HP)
|
89% |
7105
9.22 IPS |
|
|
Style Transfer (Q)
|
98% |
13828
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3539
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1246
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
665
23.6 IPS |
