Xiaomi 24117RK2CG
Geekbench AI Score
367
Single Precision Score
361
Half Precision Score
800
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Petenka315 |
| Upload Date | April 27 2025 05:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
284
52.8 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (Q)
|
99% |
719
134.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
1335
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
87% |
552
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
506
6.01 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (Q)
|
97% |
1145
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
457
3.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
1017
9.23 IPS |
|
|
Style Transfer (SP)
|
100% |
740
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1744
2.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
233
8.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
234
8.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
785
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.2 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.5 IPS |
|
|
Text Classification (Q)
|
91% |
477
640.9 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
57% |
390
9.52 IPS |
