Xiaomi 24044RN32L
Geekbench AI Score
222
Single Precision Score
218
Half Precision Score
412
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 03:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24044RN32L |
| Model ID | Xiaomi 24044RN32L |
| Motherboard | klein |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (Q)
|
100% |
296
55.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
896
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.26 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.34 IPS |
|
|
Object Detection (Q)
|
83% |
267
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
308
3.66 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
95% |
645
7.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
371
2.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
385
2.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
718
6.57 IPS |
|
|
Style Transfer (SP)
|
89% |
1009
1.31 IPS |
|
|
Style Transfer (HP)
|
89% |
1016
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2000
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
467
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
92
122.2 IPS |
|
|
Text Classification (HP)
|
100% |
93
123.8 IPS |
|
|
Text Classification (Q)
|
88% |
128
172.9 IPS |
|
|
Machine Translation (SP)
|
100% |
154
2.66 IPS |
|
|
Machine Translation (HP)
|
100% |
154
2.65 IPS |
|
|
Machine Translation (Q)
|
50% |
80
2.85 IPS |
