Xiaomi 2407FPN8EG
Geekbench AI Score
1572
Single Precision Score
1584
Half Precision Score
2206
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 07:21 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% |
1043
194.0 IPS |
|
|
Image Classification (HP)
|
100% |
1137
211.5 IPS |
|
|
Image Classification (Q)
|
100% |
1589
295.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1689
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2147
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2211
2.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
4264
5.06 IPS |
|
|
Object Detection (SP)
|
98% |
1060
84.3 IPS |
|
|
Object Detection (HP)
|
98% |
1089
86.6 IPS |
|
|
Object Detection (Q)
|
83% |
1561
126.1 IPS |
|
|
Face Detection (SP)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (Q)
|
95% |
3504
41.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2544
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2563
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3655
33.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5360
6.96 IPS |
|
|
Style Transfer (HP)
|
89% |
5277
6.85 IPS |
|
|
Style Transfer (Q)
|
98% |
9371
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2359
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.5 IPS |
|
|
Text Classification (HP)
|
99% |
526
702.5 IPS |
|
|
Text Classification (Q)
|
88% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
595
21.1 IPS |
