Xiaomi 2407FPN8EG
Geekbench AI Score
2167
Single Precision Score
2146
Half Precision Score
3023
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 04:19 AM |
| Views | 1 |
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% |
1492
277.4 IPS |
|
|
Image Classification (HP)
|
100% |
1496
278.3 IPS |
|
|
Image Classification (Q)
|
100% |
2266
421.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2379
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2933
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
5929
7.03 IPS |
|
|
Object Detection (SP)
|
98% |
1587
126.3 IPS |
|
|
Object Detection (HP)
|
98% |
1587
126.3 IPS |
|
|
Object Detection (Q)
|
83% |
2191
177.0 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
4892
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3567
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3510
27.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4963
45.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6962
9.04 IPS |
|
|
Style Transfer (HP)
|
89% |
7286
9.46 IPS |
|
|
Style Transfer (Q)
|
98% |
12997
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3227
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.2 IPS |
|
|
Text Classification (HP)
|
99% |
690
921.0 IPS |
|
|
Text Classification (Q)
|
88% |
1238
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1865
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
724
25.7 IPS |
