Xiaomi 2407FPN8EG
Geekbench AI Score
2129
Single Precision Score
2101
Half Precision Score
3017
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 11:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2407FPN8EG |
| Model ID | Xiaomi 2407FPN8EG |
| Motherboard | rothko |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
1566
291.3 IPS |
|
|
Image Classification (Q)
|
100% |
2210
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2375
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2913
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
5927
7.03 IPS |
|
|
Object Detection (SP)
|
98% |
1551
123.5 IPS |
|
|
Object Detection (HP)
|
98% |
1437
114.3 IPS |
|
|
Object Detection (Q)
|
83% |
2175
175.7 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
4817
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3516
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3489
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5046
46.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7036
9.13 IPS |
|
|
Style Transfer (HP)
|
89% |
7040
9.14 IPS |
|
|
Style Transfer (Q)
|
98% |
12980
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3122
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.6 IPS |
|
|
Text Classification (HP)
|
99% |
704
939.2 IPS |
|
|
Text Classification (Q)
|
88% |
1279
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (Q)
|
50% |
735
26.1 IPS |
