Xiaomi 14
Geekbench AI Score
405
Single Precision Score
14267
Half Precision Score
37046
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 06 2025 06:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
14729
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
33317
6.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
7759
125.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21222
345.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
405
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
76060
88.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
385668
451.4 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
8407
666.8 IPS |
|
|
Object Detection (Q)
|
86% |
13148
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
18778
223.1 IPS |
|
|
Face Detection (Q)
|
97% |
72987
870.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
35820
276.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
80981
758.3 IPS |
|
|
Style Transfer (SP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (HP)
|
98% |
49714
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
274061
353.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22929
846.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
75908
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
463
618.6 IPS |
|
|
Text Classification (HP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2882
49.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2071
54.3 IPS |
