Xiaomi 24117RK2CC
Geekbench AI Score
458
Single Precision Score
18555
Half Precision Score
46460
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | stan115 |
| Upload Date | December 31 2024 02:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24117RK2CC |
| Model ID | Xiaomi 24117RK2CC |
| 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% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
15846
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
39167
7.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
9155
148.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26108
424.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
76795
89.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
394075
461.2 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
12699
1.01 KIPS |
|
|
Object Detection (Q)
|
86% |
17638
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
28085
333.7 IPS |
|
|
Face Detection (Q)
|
97% |
105995
1.26 KIPS |
|
|
Depth Estimation (SP)
|
100% |
591
4.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
49504
381.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
102362
958.5 IPS |
|
|
Style Transfer (SP)
|
100% |
960
1.23 IPS |
|
|
Style Transfer (HP)
|
98% |
70160
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
366214
472.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34875
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
108266
4.01 KIPS |
|
|
Text Classification (SP)
|
100% |
410
547.1 IPS |
|
|
Text Classification (HP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6223
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2463
64.5 IPS |
