Xiaomi 24090RA29G
Geekbench AI Score
492
Single Precision Score
723
Half Precision Score
588
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | mpoloton |
| Upload Date | July 03 2025 01:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
247
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
97% |
299
55.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
853
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2170
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3677
4.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
3759
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
99% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
83% |
344
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1612
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
1393
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1306
10.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2351
18.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1735
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3624
4.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6544
8.41 IPS |
|
|
Style Transfer (Q)
|
98% |
6492
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
967
35.8 IPS |
|
|
Text Classification (SP)
|
35% |
12
106.0 IPS |
|
|
Text Classification (HP)
|
29% |
7
126.3 IPS |
|
|
Text Classification (Q)
|
32% |
10
127.4 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
43% |
99
5.73 IPS |
