Xiaomi 24115RA8EG
Geekbench AI Score
1077
Single Precision Score
1058
Half Precision Score
2440
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 09:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24115RA8EG |
| Model ID | Xiaomi 24115RA8EG |
| Motherboard | amethyst |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (HP)
|
100% |
852
158.5 IPS |
|
|
Image Classification (Q)
|
100% |
1870
347.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2077
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2003
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1943
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
5578
6.62 IPS |
|
|
Object Detection (SP)
|
98% |
856
68.1 IPS |
|
|
Object Detection (HP)
|
98% |
847
67.4 IPS |
|
|
Object Detection (Q)
|
83% |
1769
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
4068
48.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1665
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
986
7.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
4659
42.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4268
5.54 IPS |
|
|
Style Transfer (HP)
|
89% |
4222
5.48 IPS |
|
|
Style Transfer (Q)
|
98% |
12276
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1577
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
532
709.5 IPS |
|
|
Text Classification (HP)
|
99% |
504
673.2 IPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
493
17.5 IPS |
