Xiaomi 2407FPN8EG
Geekbench AI Score
1620
Single Precision Score
1597
Half Precision Score
2231
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 11:13 AM |
| Views | 2 |
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% |
1159
215.5 IPS |
|
|
Image Classification (HP)
|
100% |
1080
200.9 IPS |
|
|
Image Classification (Q)
|
100% |
1607
298.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2244
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
4228
5.01 IPS |
|
|
Object Detection (SP)
|
98% |
1053
83.8 IPS |
|
|
Object Detection (HP)
|
98% |
1139
90.6 IPS |
|
|
Object Detection (Q)
|
83% |
1489
120.3 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (Q)
|
95% |
3544
42.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2614
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2556
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3656
33.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5405
7.02 IPS |
|
|
Style Transfer (HP)
|
89% |
5251
6.82 IPS |
|
|
Style Transfer (Q)
|
98% |
9495
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2339
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
541
721.6 IPS |
|
|
Text Classification (HP)
|
99% |
528
705.1 IPS |
|
|
Text Classification (Q)
|
88% |
983
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
622
22.1 IPS |
