Xiaomi 24090RA29G
Geekbench AI Score
916
Single Precision Score
906
Half Precision Score
2097
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | skikitt |
| Upload Date | April 21 2025 08:55 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24090RA29G |
| Model ID | Xiaomi 24090RA29G |
| 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% |
457
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (Q)
|
100% |
1388
258.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1723
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1990
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3904
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (Q)
|
83% |
1443
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3552
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1457
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1490
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3566
32.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3518
4.57 IPS |
|
|
Style Transfer (HP)
|
89% |
3606
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
8636
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2106
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.4 IPS |
|
|
Text Classification (HP)
|
100% |
532
710.4 IPS |
|
|
Text Classification (Q)
|
88% |
1040
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
