Xiaomi 2407FPN8EG
Geekbench AI Score
1374
Single Precision Score
1397
Half Precision Score
1961
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:01 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% |
936
174.0 IPS |
|
|
Image Classification (HP)
|
100% |
937
174.2 IPS |
|
|
Image Classification (Q)
|
100% |
1393
259.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1514
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1946
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
3819
4.53 IPS |
|
|
Object Detection (SP)
|
98% |
1026
81.7 IPS |
|
|
Object Detection (HP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (Q)
|
83% |
1316
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2029
24.1 IPS |
|
|
Face Detection (Q)
|
95% |
3019
36.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1973
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1978
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2831
25.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4779
6.20 IPS |
|
|
Style Transfer (HP)
|
89% |
4811
6.25 IPS |
|
|
Style Transfer (Q)
|
98% |
8494
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2267
84.0 IPS |
|
|
Text Classification (SP)
|
100% |
465
621.2 IPS |
|
|
Text Classification (HP)
|
99% |
444
593.3 IPS |
|
|
Text Classification (Q)
|
88% |
939
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
514
18.2 IPS |
