Xiaomi 2407FPN8EG
Geekbench AI Score
1419
Single Precision Score
1441
Half Precision Score
1971
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 03:39 PM |
| Views | 3 |
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% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
976
181.5 IPS |
|
|
Image Classification (Q)
|
100% |
1407
261.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1509
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1969
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1972
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3835
4.55 IPS |
|
|
Object Detection (SP)
|
98% |
1028
81.9 IPS |
|
|
Object Detection (HP)
|
98% |
1027
81.7 IPS |
|
|
Object Detection (Q)
|
83% |
1383
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
3088
36.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2258
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2244
17.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3195
29.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4677
6.07 IPS |
|
|
Style Transfer (HP)
|
89% |
4659
6.05 IPS |
|
|
Style Transfer (Q)
|
98% |
8488
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2070
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
529
706.7 IPS |
|
|
Text Classification (HP)
|
99% |
568
758.4 IPS |
|
|
Text Classification (Q)
|
88% |
817
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
