Xiaomi 14 Pro
Geekbench AI Score
2066
Single Precision Score
2410
Half Precision Score
3281
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 03:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 14 Pro |
| Model ID | Xiaomi 23116PN5BC |
| Motherboard | shennong |
| 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% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
1437
267.3 IPS |
|
|
Image Classification (Q)
|
99% |
2637
491.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3346
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3619
4.22 IPS |
|
|
Pose Estimation (HP)
|
92% |
7214
8.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
8185
9.59 IPS |
|
|
Object Detection (SP)
|
98% |
1643
130.8 IPS |
|
|
Object Detection (HP)
|
97% |
1264
100.6 IPS |
|
|
Object Detection (Q)
|
85% |
2165
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (Q)
|
97% |
4773
56.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2894
22.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4250
32.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4996
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7865
10.2 IPS |
|
|
Style Transfer (HP)
|
88% |
7301
9.48 IPS |
|
|
Style Transfer (Q)
|
98% |
14639
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2570
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3549
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
564
753.4 IPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
914
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1179
20.4 IPS |
|
|
Machine Translation (Q)
|
55% |
818
22.0 IPS |
