Xiaomi 24074RPD2I
Geekbench AI Score
737
Single Precision Score
735
Half Precision Score
1447
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 03:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24074RPD2I |
| Model ID | Xiaomi 24074RPD2I |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.7 IPS |
|
|
Image Classification (Q)
|
100% |
1467
272.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1679
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1967
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1926
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3471
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
83% |
1366
110.4 IPS |
|
|
Face Detection (SP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3408
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1540
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1553
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3338
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3389
4.40 IPS |
|
|
Style Transfer (HP)
|
89% |
3393
4.40 IPS |
|
|
Style Transfer (Q)
|
98% |
7967
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
690
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.9 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.2 IPS |
|
|
Text Classification (Q)
|
88% |
292
393.4 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
50% |
190
6.74 IPS |
