Xiaomi 23122PCD1G
Geekbench AI Score
669
Single Precision Score
626
Half Precision Score
1349
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 03:21 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23122PCD1G |
| Model ID | Xiaomi 23122PCD1G |
| 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% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (Q)
|
100% |
1160
215.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1352
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1787
2.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
2981
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
83% |
1139
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
2773
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1441
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1457
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2289
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3038
3.94 IPS |
|
|
Style Transfer (HP)
|
89% |
3101
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6854
8.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1629
60.3 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.3 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.0 IPS |
|
|
Text Classification (Q)
|
88% |
293
395.1 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
50% |
181
6.41 IPS |
