Xiaomi 23049RAD8C
Geekbench ML Score
700
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 06:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23049RAD8C |
| Model ID | Xiaomi 23049RAD8C |
| Motherboard | marble |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
359
67.2 IPS |
|
|
Image Classification (F16)
|
100% |
368
68.9 IPS |
|
|
Image Classification (I8)
|
97% |
619
115.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
478
7.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
476
7.95 IPS |
|
|
Image Segmentation (I8)
|
98% |
545
9.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
948
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
904
1.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
2788
3.38 IPS |
|
|
Object Detection (F32)
|
100% |
338
25.2 IPS |
|
|
Object Detection (F16)
|
100% |
335
25.0 IPS |
|
|
Object Detection (I8)
|
61% |
639
47.7 IPS |
|
|
Face Detection (F32)
|
100% |
800
9.51 IPS |
|
|
Face Detection (F16)
|
100% |
785
9.33 IPS |
|
|
Face Detection (I8)
|
86% |
1420
16.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
879
6.82 IPS |
|
|
Depth Estimation (F16)
|
100% |
793
6.15 IPS |
|
|
Depth Estimation (I8)
|
95% |
1385
10.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1580
2.08 IPS |
|
|
Style Transfer (F16)
|
100% |
1530
2.01 IPS |
|
|
Style Transfer (I8)
|
98% |
2893
3.81 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
474
16.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
470
16.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1279
45.7 IPS |
|
|
Text Classification (F32)
|
100% |
383
550.5 IPS |
|
|
Text Classification (F16)
|
100% |
392
563.4 IPS |
|
|
Text Classification (I8)
|
92% |
278
399.9 IPS |
|
|
Machine Translation (F32)
|
100% |
770
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
739
13.6 IPS |
|
|
Machine Translation (I8)
|
64% |
319
5.86 IPS |
