Xiaomi 2407FPN8EG
Geekbench AI Score
1763
Single Precision Score
1695
Half Precision Score
2323
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | FiyNw |
| Upload Date | January 28 2025 04:05 PM |
| Views | 3 |
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% |
1433
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
1493
277.6 IPS |
|
|
Image Classification (Q)
|
100% |
2202
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1809
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
5403
6.41 IPS |
|
|
Object Detection (SP)
|
98% |
1394
111.0 IPS |
|
|
Object Detection (HP)
|
98% |
1279
101.8 IPS |
|
|
Object Detection (Q)
|
83% |
1844
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (Q)
|
95% |
3844
45.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2898
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2699
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3879
35.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5297
6.88 IPS |
|
|
Style Transfer (HP)
|
89% |
5216
6.77 IPS |
|
|
Style Transfer (Q)
|
98% |
8894
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2049
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.9 IPS |
|
|
Text Classification (HP)
|
99% |
464
619.7 IPS |
|
|
Text Classification (Q)
|
88% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
525
18.7 IPS |
