Xiaomi 2407FPN8EG
Geekbench AI Score
1875
Single Precision Score
1815
Half Precision Score
2513
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 07:18 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% |
1487
276.5 IPS |
|
|
Image Classification (HP)
|
100% |
1495
278.1 IPS |
|
|
Image Classification (Q)
|
100% |
2243
417.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2309
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2878
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2948
3.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
5673
6.73 IPS |
|
|
Object Detection (SP)
|
98% |
1471
117.1 IPS |
|
|
Object Detection (HP)
|
98% |
1346
107.1 IPS |
|
|
Object Detection (Q)
|
83% |
1863
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (Q)
|
95% |
4238
50.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3015
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3017
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4052
37.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5849
7.59 IPS |
|
|
Style Transfer (HP)
|
89% |
5572
7.23 IPS |
|
|
Style Transfer (Q)
|
98% |
9510
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2199
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.7 IPS |
|
|
Text Classification (HP)
|
99% |
460
614.4 IPS |
|
|
Text Classification (Q)
|
88% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.7 IPS |
