Xiaomi 23129RA5FL
Geekbench AI Score
408
Single Precision Score
407
Half Precision Score
543
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 04:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23129RA5FL |
| Model ID | Xiaomi 23129RA5FL |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.7 IPS |
|
|
Image Classification (Q)
|
100% |
362
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
454
7.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
915
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
878
1.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
809
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
360
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
502
5.97 IPS |
|
|
Face Detection (HP)
|
100% |
500
5.94 IPS |
|
|
Face Detection (Q)
|
95% |
839
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
688
5.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
837
7.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1587
2.06 IPS |
|
|
Style Transfer (HP)
|
89% |
1585
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
2125
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
475
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.4 IPS |
|
|
Text Classification (HP)
|
100% |
220
293.0 IPS |
|
|
Text Classification (Q)
|
88% |
339
457.1 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
50% |
194
6.90 IPS |
