Xiaomi 24117RK2CC
Geekbench AI Score
929
Single Precision Score
1408
Half Precision Score
1354
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | stan115 |
| Upload Date | December 31 2024 11:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
608
113.1 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (Q)
|
96% |
569
106.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1560
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1829
2.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
1817
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
823
65.3 IPS |
|
|
Object Detection (Q)
|
87% |
823
66.0 IPS |
|
|
Face Detection (SP)
|
100% |
2117
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (Q)
|
97% |
2261
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1410
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2892
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2409
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4938
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
8228
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8128
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1036
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.6 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.4 IPS |
|
|
Text Classification (Q)
|
91% |
645
867.5 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
531
13.0 IPS |
