Xiaomi 2406APNFAG
Geekbench AI Score
1632
Single Precision Score
1642
Half Precision Score
2744
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 07 2025 03:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2406APNFAG |
| Model ID | Xiaomi 2406APNFAG |
| Motherboard | degas |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
1333
248.0 IPS |
|
|
Image Classification (Q)
|
100% |
2292
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2274
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2567
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
6100
7.23 IPS |
|
|
Object Detection (SP)
|
98% |
1176
93.6 IPS |
|
|
Object Detection (HP)
|
98% |
1178
93.7 IPS |
|
|
Object Detection (Q)
|
83% |
1911
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (Q)
|
95% |
4328
51.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2158
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2316
17.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4484
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5789
7.51 IPS |
|
|
Style Transfer (HP)
|
89% |
5757
7.47 IPS |
|
|
Style Transfer (Q)
|
98% |
12093
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2869
106.3 IPS |
|
|
Text Classification (SP)
|
100% |
598
798.2 IPS |
|
|
Text Classification (HP)
|
99% |
602
803.9 IPS |
|
|
Text Classification (Q)
|
88% |
1040
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
570
20.2 IPS |
