Xiaomi 2410CRP4CG
Geekbench AI Score
1123
Single Precision Score
1664
Half Precision Score
1252
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | October 28 2025 03:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2410CRP4CG |
| Model ID | Xiaomi 2410CRP4CG |
| Motherboard | uke |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (HP)
|
100% |
1066
198.3 IPS |
|
|
Image Classification (Q)
|
100% |
978
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1675
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5882
6.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
10209
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9990
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.1 IPS |
|
|
Object Detection (HP)
|
99% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
87% |
764
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (Q)
|
97% |
2992
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3024
23.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4737
36.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
3511
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7284
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
14194
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13819
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1271
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
35% |
27
267.6 IPS |
|
|
Text Classification (HP)
|
35% |
36
329.2 IPS |
|
|
Text Classification (Q)
|
33% |
26
318.3 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (HP)
|
97% |
441
7.62 IPS |
|
|
Machine Translation (Q)
|
43% |
114
6.49 IPS |
