Xiaomi 14
Geekbench AI Score
408
Single Precision Score
418
Half Precision Score
974
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | ImJie |
| Upload Date | February 26 2026 01:31 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 14 |
| Model ID | Xiaomi 23127PN0CC |
| Motherboard | houji |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
99% |
461
86.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
1858
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
87% |
793
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (HP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (Q)
|
97% |
1588
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
586
4.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
1407
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
944
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
963
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2355
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1084
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.3 IPS |
|
|
Text Classification (HP)
|
100% |
420
561.0 IPS |
|
|
Text Classification (Q)
|
91% |
712
956.4 IPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
562
13.7 IPS |
