Xiaomi 24018RPACG
Geekbench AI Score
1043
Single Precision Score
965
Half Precision Score
1929
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jascooby |
| Upload Date | January 21 2025 11:08 PM |
| Views | 5 |
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% |
830
154.3 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (Q)
|
100% |
2034
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1254
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2750
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6458
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
801
63.7 IPS |
|
|
Object Detection (HP)
|
98% |
674
53.6 IPS |
|
|
Object Detection (Q)
|
83% |
1401
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (Q)
|
95% |
2227
26.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1424
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1344
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2943
27.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2902
3.77 IPS |
|
|
Style Transfer (HP)
|
89% |
3733
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
7006
9.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1900
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.5 IPS |
|
|
Text Classification (HP)
|
99% |
303
405.0 IPS |
|
|
Text Classification (Q)
|
88% |
702
946.7 IPS |
|
|
Machine Translation (SP)
|
100% |
909
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
