Xiaomi 2407FPN8EG
Geekbench AI Score
1489
Single Precision Score
1492
Half Precision Score
2050
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 06:57 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% |
1099
204.4 IPS |
|
|
Image Classification (HP)
|
100% |
1136
211.3 IPS |
|
|
Image Classification (Q)
|
100% |
1574
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1711
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2180
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2246
2.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
4062
4.82 IPS |
|
|
Object Detection (SP)
|
98% |
962
76.6 IPS |
|
|
Object Detection (HP)
|
98% |
953
75.9 IPS |
|
|
Object Detection (Q)
|
83% |
1308
105.7 IPS |
|
|
Face Detection (SP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3121
37.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2360
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2347
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3258
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4770
6.19 IPS |
|
|
Style Transfer (HP)
|
89% |
4648
6.03 IPS |
|
|
Style Transfer (Q)
|
98% |
8401
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2086
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.6 IPS |
|
|
Text Classification (HP)
|
99% |
479
639.5 IPS |
|
|
Text Classification (Q)
|
88% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
599
21.3 IPS |
