Xiaomi 2407FPN8EG
Geekbench AI Score
1119
Single Precision Score
5376
Half Precision Score
5181
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 04:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
696
129.4 IPS |
|
|
Image Classification (HP)
|
100% |
4446
826.7 IPS |
|
|
Image Classification (Q)
|
99% |
9289
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
4343
70.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7864
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
16918
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
69223
81.1 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
4755
377.2 IPS |
|
|
Object Detection (Q)
|
86% |
5832
469.1 IPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
12274
145.8 IPS |
|
|
Face Detection (Q)
|
97% |
11110
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1167
8.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
18311
141.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
32204
305.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3178
4.09 IPS |
|
|
Style Transfer (HP)
|
100% |
1000
1.29 IPS |
|
|
Style Transfer (Q)
|
30% |
627
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10389
383.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8028
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
121
160.9 IPS |
|
|
Text Classification (HP)
|
97% |
2232
2.99 KIPS |
|
|
Text Classification (Q)
|
73% |
2149
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (Q)
|
60% |
559
12.6 IPS |
