Xiaomi 2407FPN8EG
Geekbench AI Score
1088
Single Precision Score
1069
Half Precision Score
1527
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 07:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
959
178.3 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.6 IPS |
|
|
Image Classification (Q)
|
100% |
1129
210.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1233
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1786
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1955
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
4019
4.77 IPS |
|
|
Object Detection (SP)
|
98% |
731
58.1 IPS |
|
|
Object Detection (HP)
|
98% |
706
56.2 IPS |
|
|
Object Detection (Q)
|
83% |
1041
84.1 IPS |
|
|
Face Detection (SP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
2338
27.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1625
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1732
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2497
22.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4271
5.54 IPS |
|
|
Style Transfer (HP)
|
89% |
4389
5.70 IPS |
|
|
Style Transfer (Q)
|
98% |
7463
9.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1522
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.2 IPS |
|
|
Text Classification (HP)
|
99% |
313
417.4 IPS |
|
|
Text Classification (Q)
|
88% |
498
671.5 IPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
