Xiaomi 2410FPCC5G
Geekbench AI Score
85
Single Precision Score
119
Half Precision Score
116
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 12:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2410FPCC5G |
| Model ID | Xiaomi 2410FPCC5G |
| Motherboard | lake |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
62
11.5 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
99% |
93
17.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
82
1.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
128
2.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
48
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
67
0.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
67
0.08 IPS |
|
|
Object Detection (SP)
|
100% |
48
3.78 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.20 IPS |
|
|
Object Detection (Q)
|
83% |
76
6.18 IPS |
|
|
Face Detection (SP)
|
100% |
188
2.24 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
97% |
263
3.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
101
0.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
149
1.15 IPS |
|
|
Depth Estimation (Q)
|
62% |
113
1.07 IPS |
|
|
Style Transfer (SP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
308
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
306
0.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56
2.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
84
3.11 IPS |
|
|
Text Classification (SP)
|
100% |
68
90.7 IPS |
|
|
Text Classification (HP)
|
100% |
68
91.3 IPS |
|
|
Text Classification (Q)
|
91% |
102
137.0 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (HP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (Q)
|
57% |
96
2.35 IPS |
