Xiaomi 2407FPN8EG
Geekbench AI Score
1539
Single Precision Score
1523
Half Precision Score
2109
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 10:19 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% |
1118
207.9 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (Q)
|
100% |
1589
295.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1700
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2200
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2198
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
4269
5.06 IPS |
|
|
Object Detection (SP)
|
98% |
1125
89.5 IPS |
|
|
Object Detection (HP)
|
98% |
1134
90.2 IPS |
|
|
Object Detection (Q)
|
83% |
1552
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
3470
41.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2515
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2493
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3606
33.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5229
6.79 IPS |
|
|
Style Transfer (HP)
|
89% |
5221
6.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8999
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2068
76.6 IPS |
|
|
Text Classification (SP)
|
100% |
453
605.3 IPS |
|
|
Text Classification (HP)
|
99% |
454
605.5 IPS |
|
|
Text Classification (Q)
|
88% |
816
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
