Xiaomi 14
Geekbench AI Score
2836
Single Precision Score
3346
Half Precision Score
4700
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 21 2026 03:56 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1809
336.3 IPS |
|
|
Image Classification (HP)
|
100% |
1701
316.3 IPS |
|
|
Image Classification (Q)
|
99% |
3140
585.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3911
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4499
5.25 IPS |
|
|
Pose Estimation (HP)
|
92% |
7094
8.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
10612
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
2170
172.7 IPS |
|
|
Object Detection (HP)
|
97% |
1715
136.5 IPS |
|
|
Object Detection (Q)
|
85% |
3242
261.2 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
5264
62.6 IPS |
|
|
Face Detection (Q)
|
97% |
7392
88.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4415
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6943
53.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7666
70.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10668
13.8 IPS |
|
|
Style Transfer (HP)
|
88% |
10467
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21733
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2303
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3957
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5595
207.3 IPS |
|
|
Text Classification (SP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (Q)
|
93% |
1350
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1914
33.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1341
36.0 IPS |
