Xiaomi 24115RA8EG
Geekbench AI Score
491
Single Precision Score
869
Half Precision Score
704
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 12:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
363
67.6 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (Q)
|
100% |
563
104.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
815
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
3725
4.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
3656
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
99% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
85% |
443
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
1460
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1171
9.02 IPS |
|
|
Depth Estimation (HP)
|
98% |
2590
20.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1945
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2331
3.00 IPS |
|
|
Style Transfer (HP)
|
100% |
5748
7.39 IPS |
|
|
Style Transfer (Q)
|
98% |
5616
7.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
923
34.2 IPS |
|
|
Text Classification (SP)
|
35% |
19
189.1 IPS |
|
|
Text Classification (HP)
|
35% |
31
280.0 IPS |
|
|
Text Classification (Q)
|
33% |
24
266.6 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
48% |
114
4.36 IPS |
