Xiaomi 2407FRK8EC
Geekbench AI Score
1773
Single Precision Score
1780
Half Precision Score
2505
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 10:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2407FRK8EC |
| Model ID | Xiaomi 2407FRK8EC |
| 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% |
1199
222.9 IPS |
|
|
Image Classification (HP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (Q)
|
100% |
1837
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1986
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
4941
5.86 IPS |
|
|
Object Detection (SP)
|
98% |
1280
101.9 IPS |
|
|
Object Detection (HP)
|
98% |
1279
101.8 IPS |
|
|
Object Detection (Q)
|
83% |
1789
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (Q)
|
95% |
4039
48.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2831
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2822
21.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4179
38.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5816
7.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5847
7.59 IPS |
|
|
Style Transfer (Q)
|
98% |
10974
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2685
99.5 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.1 IPS |
|
|
Text Classification (HP)
|
99% |
591
789.1 IPS |
|
|
Text Classification (Q)
|
88% |
1001
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
608
21.6 IPS |
