Xiaomi 24117RK2CG
Geekbench AI Score
801
Single Precision Score
1173
Half Precision Score
1143
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Petenka315 |
| Upload Date | April 27 2025 04:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24117RK2CG |
| Model ID | Xiaomi 24117RK2CG |
| Motherboard | zorn |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
567
105.5 IPS |
|
|
Image Classification (HP)
|
100% |
591
110.0 IPS |
|
|
Image Classification (Q)
|
96% |
555
103.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1059
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1621
1.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
1613
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (Q)
|
87% |
697
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2096
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
2339
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1268
9.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
2414
18.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2045
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4195
5.39 IPS |
|
|
Style Transfer (HP)
|
100% |
7017
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
6886
8.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
399
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
954
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
288
385.0 IPS |
|
|
Text Classification (HP)
|
100% |
290
386.8 IPS |
|
|
Text Classification (Q)
|
91% |
477
640.5 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (Q)
|
57% |
387
9.46 IPS |
