Xiaomi 2410DPN6CC
Geekbench AI Score
2251
Single Precision Score
2275
Half Precision Score
3507
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 08:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.3 IPS |
|
|
Image Classification (Q)
|
100% |
3725
692.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4339
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4516
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4716
5.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
10680
12.7 IPS |
|
|
Object Detection (SP)
|
98% |
1330
105.8 IPS |
|
|
Object Detection (HP)
|
98% |
1319
105.0 IPS |
|
|
Object Detection (Q)
|
83% |
2912
235.2 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3527
41.9 IPS |
|
|
Face Detection (Q)
|
95% |
7150
85.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3670
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3644
28.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7532
69.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9216
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9180
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18869
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3214
119.1 IPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
694
925.9 IPS |
|
|
Text Classification (Q)
|
88% |
402
541.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
50% |
427
15.2 IPS |
