Xiaomi 14
Geekbench AI Score
1692
Single Precision Score
1626
Half Precision Score
2267
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 10 2025 06:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (Q)
|
100% |
2043
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2358
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3352
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
5724
6.79 IPS |
|
|
Object Detection (SP)
|
98% |
1269
101.0 IPS |
|
|
Object Detection (HP)
|
98% |
1163
92.6 IPS |
|
|
Object Detection (Q)
|
83% |
1729
139.7 IPS |
|
|
Face Detection (SP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (Q)
|
95% |
3768
45.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2878
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2666
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2629
24.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6518
8.46 IPS |
|
|
Style Transfer (HP)
|
89% |
6094
7.91 IPS |
|
|
Style Transfer (Q)
|
98% |
10560
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2687
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.5 IPS |
|
|
Text Classification (HP)
|
99% |
514
685.9 IPS |
|
|
Text Classification (Q)
|
88% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
340
12.1 IPS |
