Xiaomi 2407FPN8EG
Geekbench AI Score
1482
Single Precision Score
1476
Half Precision Score
1976
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | shigue |
| Upload Date | August 26 2025 02:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1045
194.4 IPS |
|
|
Image Classification (HP)
|
100% |
1123
208.8 IPS |
|
|
Image Classification (Q)
|
100% |
1580
293.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1694
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2044
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3823
4.53 IPS |
|
|
Object Detection (SP)
|
98% |
1044
83.1 IPS |
|
|
Object Detection (HP)
|
98% |
1030
81.9 IPS |
|
|
Object Detection (Q)
|
83% |
1290
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2142
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3102
37.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2353
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2354
18.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3189
29.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4819
6.26 IPS |
|
|
Style Transfer (HP)
|
89% |
4810
6.24 IPS |
|
|
Style Transfer (Q)
|
98% |
8434
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1093
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2051
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.3 IPS |
|
|
Text Classification (HP)
|
99% |
463
617.9 IPS |
|
|
Text Classification (Q)
|
88% |
809
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
499
17.7 IPS |
