Xiaomi 23124RN87C
Geekbench AI Score
484
Single Precision Score
464
Half Precision Score
885
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 09:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23124RN87C |
| Model ID | Xiaomi 23124RN87C |
| Motherboard | air |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
100% |
621
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
674
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1033
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
1543
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
83% |
589
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.24 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.80 IPS |
|
|
Face Detection (Q)
|
95% |
1124
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
816
6.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
1402
12.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1787
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1785
2.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3545
4.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
864
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.6 IPS |
|
|
Text Classification (HP)
|
100% |
256
341.7 IPS |
|
|
Text Classification (Q)
|
88% |
489
659.1 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.95 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
50% |
331
11.8 IPS |
