Xiaomi 24117RK2CG
Geekbench AI Score
2451
Single Precision Score
2446
Half Precision Score
3765
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Petenka315 |
| Upload Date | April 27 2025 04:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1864
346.7 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (Q)
|
100% |
3195
594.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3504
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3484
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
8368
9.92 IPS |
|
|
Object Detection (SP)
|
98% |
1835
146.0 IPS |
|
|
Object Detection (HP)
|
98% |
1965
156.4 IPS |
|
|
Object Detection (Q)
|
83% |
2693
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
3801
45.2 IPS |
|
|
Face Detection (Q)
|
95% |
6591
78.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3866
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3738
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6262
57.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9206
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8923
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16732
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1825
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4228
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
760
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1109
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1449
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
701
24.9 IPS |
