Xiaomi 14
Geekbench AI Score
2182
Single Precision Score
2177
Half Precision Score
3233
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 07:53 PM |
| Views | 1 |
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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
1753
326.0 IPS |
|
|
Image Classification (Q)
|
100% |
2826
525.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3268
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4018
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4001
4.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
9060
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1810
144.0 IPS |
|
|
Object Detection (HP)
|
98% |
1768
140.7 IPS |
|
|
Object Detection (Q)
|
83% |
2195
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (Q)
|
95% |
4992
59.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3061
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5125
46.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8155
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8148
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15280
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3798
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.6 IPS |
|
|
Text Classification (HP)
|
99% |
675
900.7 IPS |
|
|
Text Classification (Q)
|
88% |
1005
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
456
16.2 IPS |
