Xiaomi 2410CRP4CI
Geekbench AI Score
430
Single Precision Score
431
Half Precision Score
988
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 12:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2410CRP4CI |
| Model ID | Xiaomi 2410CRP4CI |
| 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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
99% |
661
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
684
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1814
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
87% |
734
58.9 IPS |
|
|
Face Detection (SP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (HP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (Q)
|
97% |
1487
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
552
4.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
1364
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
923
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
925
1.19 IPS |
|
|
Style Transfer (Q)
|
98% |
2256
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1018
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
381
509.1 IPS |
|
|
Text Classification (HP)
|
100% |
381
507.9 IPS |
|
|
Text Classification (Q)
|
91% |
624
838.8 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
507
12.4 IPS |
