Xiaomi 2203129G
Geekbench AI Score
929
Single Precision Score
926
Half Precision Score
2011
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 05:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM taoyao |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2203129G |
| Model ID | Xiaomi 2203129G |
| Motherboard | taoyao |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM taoyao |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
100% |
1331
247.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1687
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3750
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
83% |
1397
112.8 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3401
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1576
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1567
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3401
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3670
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3650
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
8582
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2053
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
508
678.2 IPS |
|
|
Text Classification (HP)
|
100% |
504
672.8 IPS |
|
|
Text Classification (Q)
|
88% |
960
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.8 IPS |
