xiaomi 24117RK2CG
Geekbench AI Score
2709
Single Precision Score
2667
Half Precision Score
4196
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 12:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | xiaomi 24117RK2CG |
| Model ID | xiaomi 24117RK2CG |
| Motherboard | pineapple |
| 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% |
2276
423.3 IPS |
|
|
Image Classification (HP)
|
100% |
2257
419.7 IPS |
|
|
Image Classification (Q)
|
100% |
3528
656.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3999
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3874
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3738
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
8865
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1814
144.4 IPS |
|
|
Object Detection (HP)
|
98% |
1835
146.0 IPS |
|
|
Object Detection (Q)
|
83% |
3065
247.6 IPS |
|
|
Face Detection (SP)
|
100% |
4120
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4067
48.3 IPS |
|
|
Face Detection (Q)
|
95% |
6818
81.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4075
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3887
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6700
61.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9439
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9157
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18175
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4816
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1454
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1662
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
760
27.0 IPS |
