Xiaomi 23054RA19C
Geekbench ML Score
637
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 11 2024 08:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23054RA19C |
| Model ID | Xiaomi 23054RA19C |
| Motherboard | pearl |
| Governor | schedhorizon |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.23 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
393
73.6 IPS |
|
|
Image Classification (F16)
|
100% |
583
109.1 IPS |
|
|
Image Classification (I8)
|
97% |
572
107.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
533
8.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
681
11.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
649
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
449
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
617
0.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
612
0.74 IPS |
|
|
Object Detection (F32)
|
100% |
327
24.4 IPS |
|
|
Object Detection (F16)
|
100% |
473
35.3 IPS |
|
|
Object Detection (I8)
|
62% |
468
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (F16)
|
98% |
1644
19.5 IPS |
|
|
Face Detection (I8)
|
86% |
1538
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
765
5.93 IPS |
|
|
Depth Estimation (F16)
|
100% |
919
7.13 IPS |
|
|
Depth Estimation (I8)
|
95% |
924
7.16 IPS |
|
|
Style Transfer (F32)
|
100% |
1854
2.44 IPS |
|
|
Style Transfer (F16)
|
100% |
2491
3.28 IPS |
|
|
Style Transfer (I8)
|
98% |
2484
3.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
403
14.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
539
19.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
533
19.1 IPS |
|
|
Text Classification (F32)
|
100% |
222
319.7 IPS |
|
|
Text Classification (F16)
|
100% |
207
298.2 IPS |
|
|
Text Classification (I8)
|
92% |
389
558.7 IPS |
|
|
Machine Translation (F32)
|
100% |
381
7.01 IPS |
|
|
Machine Translation (F16)
|
100% |
385
7.08 IPS |
|
|
Machine Translation (I8)
|
64% |
500
9.20 IPS |
