Xiaomi 24115RA8EG
Geekbench AI Score
229
Single Precision Score
229
Half Precision Score
532
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 05:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
393
6.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
922
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
87% |
367
29.5 IPS |
|
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
809
9.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
302
2.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
302
2.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
717
6.51 IPS |
|
|
Style Transfer (SP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
523
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1557
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
146
5.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
532
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.9 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.3 IPS |
|
|
Text Classification (Q)
|
91% |
340
456.5 IPS |
|
|
Machine Translation (SP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
57% |
245
5.99 IPS |
