Xiaomi 23090RA98C
Geekbench AI Score
912
Single Precision Score
911
Half Precision Score
1676
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | February 11 2026 07:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 23090RA98C |
| Model ID | Xiaomi 23090RA98C |
| 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% |
644
119.7 IPS |
|
|
Image Classification (HP)
|
100% |
730
135.8 IPS |
|
|
Image Classification (Q)
|
100% |
1269
236.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1381
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1377
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1203
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3093
3.67 IPS |
|
|
Object Detection (SP)
|
98% |
625
49.8 IPS |
|
|
Object Detection (HP)
|
98% |
614
48.8 IPS |
|
|
Object Detection (Q)
|
83% |
1009
81.5 IPS |
|
|
Face Detection (SP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1215
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2409
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1292
9.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1333
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2472
22.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3068
3.98 IPS |
|
|
Style Transfer (HP)
|
89% |
2990
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6676
8.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1646
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.5 IPS |
|
|
Text Classification (HP)
|
99% |
348
464.9 IPS |
|
|
Text Classification (Q)
|
88% |
912
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
50% |
537
19.1 IPS |
