Xiaomi 2410DPN6CC
Geekbench AI Score
961
Single Precision Score
1969
Half Precision Score
1782
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 05:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
1448
269.4 IPS |
|
|
Image Classification (Q)
|
99% |
1283
239.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3219
52.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2510
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1470
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2472
2.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
2474
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
1192
94.6 IPS |
|
|
Object Detection (Q)
|
86% |
1191
95.7 IPS |
|
|
Face Detection (SP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5623
66.8 IPS |
|
|
Face Detection (Q)
|
97% |
4991
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1435
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4123
31.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3376
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5169
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
11037
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10928
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1916
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.5 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.6 IPS |
|
|
Text Classification (Q)
|
91% |
299
402.6 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
57% |
324
7.92 IPS |
