Xiaomi 23078RKD5C
Geekbench ML Score
777
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 04 2024 07:47 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23078RKD5C |
| Model ID | Xiaomi 23078RKD5C |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
463
86.6 IPS |
|
|
Image Classification (F16)
|
100% |
493
92.3 IPS |
|
|
Image Classification (I8)
|
97% |
509
95.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
523
8.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
506
8.46 IPS |
|
|
Image Segmentation (I8)
|
98% |
674
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1081
1.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
902
1.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
3767
4.56 IPS |
|
|
Object Detection (F32)
|
100% |
438
32.7 IPS |
|
|
Object Detection (F16)
|
100% |
449
33.5 IPS |
|
|
Object Detection (I8)
|
61% |
598
44.6 IPS |
|
|
Face Detection (F32)
|
100% |
806
9.58 IPS |
|
|
Face Detection (F16)
|
100% |
839
9.98 IPS |
|
|
Face Detection (I8)
|
86% |
1232
14.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
865
6.71 IPS |
|
|
Depth Estimation (F16)
|
100% |
876
6.79 IPS |
|
|
Depth Estimation (I8)
|
95% |
1516
11.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1575
2.07 IPS |
|
|
Style Transfer (F16)
|
100% |
1575
2.07 IPS |
|
|
Style Transfer (I8)
|
98% |
3196
4.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
566
20.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
734
26.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1635
58.4 IPS |
|
|
Text Classification (F32)
|
100% |
558
802.2 IPS |
|
|
Text Classification (F16)
|
100% |
567
815.1 IPS |
|
|
Text Classification (I8)
|
92% |
369
530.9 IPS |
|
|
Machine Translation (F32)
|
100% |
543
9.98 IPS |
|
|
Machine Translation (F16)
|
100% |
546
10.0 IPS |
|
|
Machine Translation (I8)
|
64% |
333
6.13 IPS |
