Xiaomi 2410CRP4CC
Geekbench AI Score
641
Single Precision Score
1012
Half Precision Score
1006
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | May 18 2025 11:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2410CRP4CC |
| Model ID | Xiaomi 2410CRP4CC |
| 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% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
903
168.0 IPS |
|
|
Image Classification (Q)
|
96% |
859
160.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1092
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1327
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1321
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (Q)
|
87% |
648
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2557
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1095
8.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
1952
15.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1638
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3464
4.45 IPS |
|
|
Style Transfer (HP)
|
100% |
5559
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
5536
7.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
757
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.7 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.9 IPS |
|
|
Text Classification (Q)
|
91% |
294
394.9 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
57% |
257
6.29 IPS |
