Xiaomi 2410CRP4CG
Geekbench AI Score
1343
Single Precision Score
1332
Half Precision Score
2208
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | October 28 2025 03:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1537
285.9 IPS |
|
|
Image Classification (HP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (Q)
|
100% |
2040
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1265
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2987
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2946
3.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
6619
7.85 IPS |
|
|
Object Detection (SP)
|
98% |
1362
108.4 IPS |
|
|
Object Detection (HP)
|
98% |
662
52.6 IPS |
|
|
Object Detection (Q)
|
83% |
1044
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
2353
28.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3076
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3038
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4980
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3489
4.53 IPS |
|
|
Style Transfer (HP)
|
89% |
7456
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
14034
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3288
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.5 IPS |
|
|
Text Classification (HP)
|
99% |
363
484.4 IPS |
|
|
Text Classification (Q)
|
88% |
604
815.2 IPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
473
16.8 IPS |
