Xiaomi 24090RA29I
Geekbench AI Score
917
Single Precision Score
915
Half Precision Score
2097
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 09:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24090RA29I |
| Model ID | Xiaomi 24090RA29I |
| Motherboard | malachite |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
100% |
1459
271.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1688
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1961
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1965
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3874
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (Q)
|
83% |
1405
113.5 IPS |
|
|
Face Detection (SP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3427
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1475
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1498
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3517
32.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3629
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3646
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
8811
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2129
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
536
714.9 IPS |
|
|
Text Classification (HP)
|
100% |
532
709.9 IPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
