Xiaomi 23122PCD1G
Geekbench AI Score
752
Single Precision Score
669
Half Precision Score
1452
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 05:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (Q)
|
100% |
1446
268.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2044
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3763
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1388
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1098
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
3402
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1530
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1544
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3414
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3661
4.75 IPS |
|
|
Style Transfer (HP)
|
89% |
3557
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
8570
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
302
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
681
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.4 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.3 IPS |
|
|
Text Classification (Q)
|
88% |
282
379.8 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
50% |
175
6.20 IPS |
