Xiaomi 24040RN64Y
Geekbench AI Score
312
Single Precision Score
310
Half Precision Score
586
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 04:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24040RN64Y |
| Model ID | Xiaomi 24040RN64Y |
| Motherboard | moon |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (Q)
|
100% |
470
87.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
613
9.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
802
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
716
0.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
1265
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
393
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (Q)
|
95% |
926
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
434
3.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
525
4.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1003
9.18 IPS |
|
|
Style Transfer (SP)
|
89% |
1536
1.99 IPS |
|
|
Style Transfer (HP)
|
89% |
1455
1.89 IPS |
|
|
Style Transfer (Q)
|
98% |
2824
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
255
9.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
257
9.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
645
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.6 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.8 IPS |
|
|
Text Classification (Q)
|
88% |
170
229.1 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
50% |
116
4.11 IPS |
