Xiaomi 2410DPN6CC
Geekbench AI Score
543
Single Precision Score
541
Half Precision Score
1200
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | zxhsean |
| Upload Date | December 18 2024 09:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2410DPN6CC |
| Model ID | Xiaomi 2410DPN6CC |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
99% |
1073
200.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
1007
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
662
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
628
0.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
1993
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
87% |
838
67.2 IPS |
|
|
Face Detection (SP)
|
100% |
750
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
97% |
1691
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
660
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
660
5.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1531
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1173
1.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1170
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3057
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1203
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.9 IPS |
|
|
Text Classification (HP)
|
100% |
436
581.6 IPS |
|
|
Text Classification (Q)
|
91% |
671
901.8 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
57% |
540
13.2 IPS |
