Xiaomi 2407FPN8EG
Geekbench AI Score
1443
Single Precision Score
1452
Half Precision Score
1949
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 21 2025 01:21 AM |
| Views | 2 |
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% |
970
180.4 IPS |
|
|
Image Classification (HP)
|
100% |
1028
191.2 IPS |
|
|
Image Classification (Q)
|
100% |
1417
263.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1211
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1531
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2004
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3848
4.56 IPS |
|
|
Object Detection (SP)
|
98% |
961
76.5 IPS |
|
|
Object Detection (HP)
|
98% |
1023
81.4 IPS |
|
|
Object Detection (Q)
|
83% |
1294
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3127
37.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2348
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2366
18.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3207
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4745
6.16 IPS |
|
|
Style Transfer (HP)
|
89% |
4670
6.06 IPS |
|
|
Style Transfer (Q)
|
98% |
8397
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2064
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.9 IPS |
|
|
Text Classification (HP)
|
99% |
463
617.5 IPS |
|
|
Text Classification (Q)
|
88% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1315
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
