Xiaomi 2304FPN6DC
Geekbench AI Score
794
Single Precision Score
1166
Half Precision Score
1144
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cellphonehater |
| Upload Date | March 31 2025 06:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2304FPN6DC |
| Model ID | Xiaomi 2304FPN6DC |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
904
168.2 IPS |
|
|
Image Classification (Q)
|
96% |
830
155.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1083
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1726
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1170
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1166
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
87% |
691
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
1761
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
3026
35.9 IPS |
|
|
Face Detection (Q)
|
97% |
2826
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1159
8.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
2187
16.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1776
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2954
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
6629
8.52 IPS |
|
|
Style Transfer (Q)
|
98% |
6465
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
329
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
324
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.4 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.4 IPS |
|
|
Text Classification (Q)
|
91% |
644
865.0 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
493
12.0 IPS |
