Xiaomi 2407FPN8EG
Geekbench AI Score
1210
Single Precision Score
1216
Half Precision Score
1640
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 09:32 PM |
| 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% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (Q)
|
100% |
1127
209.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1305
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1726
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1717
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
3287
3.90 IPS |
|
|
Object Detection (SP)
|
98% |
794
63.2 IPS |
|
|
Object Detection (HP)
|
98% |
818
65.1 IPS |
|
|
Object Detection (Q)
|
83% |
1162
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1796
21.3 IPS |
|
|
Face Detection (Q)
|
95% |
2556
30.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2006
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1983
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2735
25.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4191
5.44 IPS |
|
|
Style Transfer (HP)
|
89% |
4186
5.43 IPS |
|
|
Style Transfer (Q)
|
98% |
7264
9.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
952
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1755
65.0 IPS |
|
|
Text Classification (SP)
|
100% |
392
523.0 IPS |
|
|
Text Classification (HP)
|
99% |
397
529.4 IPS |
|
|
Text Classification (Q)
|
88% |
656
884.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
429
15.2 IPS |
