Xiaomi 23090RA98G
Geekbench ML Score
489
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 18 2024 04:30 PM |
| Views | 82 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23090RA98G |
| Model ID | Xiaomi 23090RA98G |
| Motherboard | zircon |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
266
49.7 IPS |
|
|
Image Classification (F16)
|
100% |
267
49.9 IPS |
|
|
Image Classification (I8)
|
97% |
394
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
313
5.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
328
5.48 IPS |
|
|
Image Segmentation (I8)
|
98% |
466
7.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
541
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
560
0.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
2187
2.65 IPS |
|
|
Object Detection (F32)
|
100% |
269
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
261
19.5 IPS |
|
|
Object Detection (I8)
|
61% |
454
33.9 IPS |
|
|
Face Detection (F32)
|
100% |
570
6.78 IPS |
|
|
Face Detection (F16)
|
100% |
558
6.64 IPS |
|
|
Face Detection (I8)
|
86% |
935
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
584
4.53 IPS |
|
|
Depth Estimation (F16)
|
100% |
576
4.47 IPS |
|
|
Depth Estimation (I8)
|
95% |
986
7.65 IPS |
|
|
Style Transfer (F32)
|
100% |
966
1.27 IPS |
|
|
Style Transfer (F16)
|
100% |
983
1.29 IPS |
|
|
Style Transfer (I8)
|
98% |
2489
3.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
327
11.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
322
11.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
798
28.5 IPS |
|
|
Text Classification (F32)
|
100% |
276
397.1 IPS |
|
|
Text Classification (F16)
|
100% |
264
380.1 IPS |
|
|
Text Classification (I8)
|
92% |
230
331.0 IPS |
|
|
Machine Translation (F32)
|
100% |
432
7.96 IPS |
|
|
Machine Translation (F16)
|
100% |
391
7.20 IPS |
|
|
Machine Translation (I8)
|
64% |
307
5.64 IPS |
