Xiaomi 2407FPN8EG
Geekbench AI Score
1581
Single Precision Score
1599
Half Precision Score
2163
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:50 PM |
| 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% |
1078
200.5 IPS |
|
|
Image Classification (HP)
|
100% |
1084
201.7 IPS |
|
|
Image Classification (Q)
|
100% |
1613
300.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1710
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2193
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2258
2.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
4288
5.09 IPS |
|
|
Object Detection (SP)
|
98% |
1048
83.4 IPS |
|
|
Object Detection (HP)
|
98% |
1135
90.3 IPS |
|
|
Object Detection (Q)
|
83% |
1445
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (Q)
|
95% |
3484
41.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2606
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2553
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3603
33.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5371
6.97 IPS |
|
|
Style Transfer (HP)
|
89% |
5367
6.97 IPS |
|
|
Style Transfer (Q)
|
98% |
9375
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1239
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2328
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (HP)
|
99% |
525
700.7 IPS |
|
|
Text Classification (Q)
|
88% |
881
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
545
19.4 IPS |
