Xiaomi 24090RA29C
Geekbench AI Score
927
Single Precision Score
929
Half Precision Score
2127
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 28 2024 08:18 PM |
| Views | 96 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24090RA29C |
| Model ID | Xiaomi 24090RA29C |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
468
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.3 IPS |
|
|
Image Classification (Q)
|
100% |
1517
282.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1736
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3873
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
1462
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
3572
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1463
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3580
32.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3614
4.69 IPS |
|
|
Style Transfer (HP)
|
89% |
3612
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8798
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
841
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2116
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
541
722.0 IPS |
|
|
Text Classification (HP)
|
100% |
535
713.6 IPS |
|
|
Text Classification (Q)
|
88% |
1050
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
