Xiaomi 2407FPN8EG Xiaomi 14T Pro Xiaomi 2407FPN8EG
Geekbench AI Score
1634
Single Precision Score
1623
Half Precision Score
2247
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | neo828 |
| Upload Date | September 30 2024 06:19 AM |
| Views | 9 |
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% |
1139
211.7 IPS |
|
|
Image Classification (HP)
|
100% |
1151
214.0 IPS |
|
|
Image Classification (Q)
|
100% |
1574
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1728
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2217
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
4305
5.11 IPS |
|
|
Object Detection (SP)
|
98% |
1161
92.4 IPS |
|
|
Object Detection (HP)
|
98% |
1152
91.6 IPS |
|
|
Object Detection (Q)
|
83% |
1573
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (Q)
|
95% |
3506
41.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2613
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2603
20.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3688
33.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5414
7.03 IPS |
|
|
Style Transfer (HP)
|
89% |
5243
6.81 IPS |
|
|
Style Transfer (Q)
|
98% |
9410
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1243
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2330
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.4 IPS |
|
|
Text Classification (HP)
|
99% |
529
706.5 IPS |
|
|
Text Classification (Q)
|
88% |
976
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1524
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
645
22.9 IPS |
