Xiaomi 23122PCD1I
Geekbench AI Score
723
Single Precision Score
643
Half Precision Score
1320
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 10:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23122PCD1I |
| Model ID | Xiaomi 23122PCD1I |
| Motherboard | garnet |
| 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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
100% |
1436
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1663
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2022
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1966
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3257
3.86 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
83% |
1182
95.5 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2790
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1501
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1452
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2732
25.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3128
4.06 IPS |
|
|
Style Transfer (HP)
|
89% |
3129
4.06 IPS |
|
|
Style Transfer (Q)
|
98% |
6842
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
673
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.9 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (Q)
|
88% |
277
373.6 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
50% |
181
6.42 IPS |
