Xiaomi 2407FRK8EC
Geekbench AI Score
1374
Single Precision Score
1376
Half Precision Score
1934
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2407FRK8EC |
| Model ID | Xiaomi 2407FRK8EC |
| 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% |
974
181.2 IPS |
|
|
Image Classification (HP)
|
100% |
1006
187.2 IPS |
|
|
Image Classification (Q)
|
100% |
1427
265.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1514
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2150
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
3741
4.44 IPS |
|
|
Object Detection (SP)
|
98% |
991
78.9 IPS |
|
|
Object Detection (HP)
|
98% |
986
78.5 IPS |
|
|
Object Detection (Q)
|
83% |
1360
109.9 IPS |
|
|
Face Detection (SP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (Q)
|
95% |
3031
36.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2110
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3172
29.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4536
5.89 IPS |
|
|
Style Transfer (HP)
|
89% |
4555
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
8345
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2033
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.1 IPS |
|
|
Text Classification (HP)
|
99% |
462
617.0 IPS |
|
|
Text Classification (Q)
|
88% |
809
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
506
18.0 IPS |
