Xiaomi 24018RPACC
Geekbench ML Score
1181
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 19 2024 08:09 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24018RPACC |
| Model ID | Xiaomi 24018RPACC |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
657
123.0 IPS |
|
|
Image Classification (F16)
|
100% |
1133
212.1 IPS |
|
|
Image Classification (I8)
|
99% |
1103
206.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1272
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1995
33.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1910
31.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
916
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
1256
1.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
1235
1.50 IPS |
|
|
Object Detection (F32)
|
100% |
497
37.1 IPS |
|
|
Object Detection (F16)
|
100% |
771
57.6 IPS |
|
|
Object Detection (I8)
|
62% |
839
62.6 IPS |
|
|
Face Detection (F32)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (F16)
|
97% |
3845
45.7 IPS |
|
|
Face Detection (I8)
|
86% |
3612
42.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1411
10.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2769
21.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2782
21.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3581
4.71 IPS |
|
|
Style Transfer (F16)
|
100% |
8170
10.7 IPS |
|
|
Style Transfer (I8)
|
98% |
8212
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
387
13.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
358
12.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
345
12.3 IPS |
|
|
Text Classification (F32)
|
100% |
396
569.1 IPS |
|
|
Text Classification (F16)
|
100% |
392
562.8 IPS |
|
|
Text Classification (I8)
|
92% |
615
884.5 IPS |
|
|
Machine Translation (F32)
|
100% |
589
10.8 IPS |
|
|
Machine Translation (F16)
|
100% |
576
10.6 IPS |
|
|
Machine Translation (I8)
|
64% |
624
11.5 IPS |
