Xiaomi 23090RA98G
Geekbench AI Score
765
Single Precision Score
763
Half Precision Score
1333
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 05:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
590
109.6 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
100% |
991
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
988
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1054
1.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
2632
3.12 IPS |
|
|
Object Detection (SP)
|
98% |
521
41.4 IPS |
|
|
Object Detection (HP)
|
98% |
533
42.4 IPS |
|
|
Object Detection (Q)
|
83% |
863
69.7 IPS |
|
|
Face Detection (SP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
1858
22.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1034
7.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1068
8.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
2075
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2580
3.35 IPS |
|
|
Style Transfer (HP)
|
89% |
2594
3.37 IPS |
|
|
Style Transfer (Q)
|
98% |
5704
7.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1352
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
266
354.5 IPS |
|
|
Text Classification (HP)
|
99% |
265
353.1 IPS |
|
|
Text Classification (Q)
|
88% |
720
971.6 IPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
373
13.2 IPS |
