Xiaomi 23122PCD1G
Geekbench AI Score
554
Single Precision Score
508
Half Precision Score
914
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 19 2025 10:52 AM |
| Views | 7 |
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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
100% |
803
149.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1415
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1465
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2092
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
83% |
785
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
1984
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1221
9.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1902
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2298
2.98 IPS |
|
|
Style Transfer (HP)
|
89% |
2356
3.06 IPS |
|
|
Style Transfer (Q)
|
98% |
2990
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
639
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
155
207.4 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.2 IPS |
|
|
Text Classification (Q)
|
88% |
259
349.4 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
50% |
172
6.11 IPS |
