Xiaomi 23049RAD8C
Geekbench ML Score
750
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 06:38 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% |
376
70.3 IPS |
|
|
Image Classification (F16)
|
100% |
371
69.4 IPS |
|
|
Image Classification (I8)
|
97% |
632
118.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
486
8.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
482
8.05 IPS |
|
|
Image Segmentation (I8)
|
98% |
555
9.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
949
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
936
1.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
3346
4.05 IPS |
|
|
Object Detection (F32)
|
100% |
367
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
357
26.7 IPS |
|
|
Object Detection (I8)
|
61% |
720
53.7 IPS |
|
|
Face Detection (F32)
|
100% |
836
9.95 IPS |
|
|
Face Detection (F16)
|
100% |
835
9.93 IPS |
|
|
Face Detection (I8)
|
86% |
1350
16.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
919
7.13 IPS |
|
|
Depth Estimation (F16)
|
100% |
918
7.12 IPS |
|
|
Depth Estimation (I8)
|
95% |
1636
12.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1753
2.31 IPS |
|
|
Style Transfer (F16)
|
100% |
1757
2.31 IPS |
|
|
Style Transfer (I8)
|
98% |
3289
4.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
550
19.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
544
19.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1385
49.5 IPS |
|
|
Text Classification (F32)
|
100% |
419
601.6 IPS |
|
|
Text Classification (F16)
|
100% |
414
595.0 IPS |
|
|
Text Classification (I8)
|
92% |
295
424.5 IPS |
|
|
Machine Translation (F32)
|
100% |
816
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
785
14.4 IPS |
|
|
Machine Translation (I8)
|
64% |
323
5.95 IPS |
