Xiaomi 23090RA98C
Geekbench AI Score
748
Single Precision Score
1096
Half Precision Score
868
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | February 11 2026 07:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
460
85.6 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (Q)
|
97% |
418
78.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1286
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2987
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
6253
7.33 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (HP)
|
99% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
83% |
685
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (Q)
|
96% |
2061
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2101
16.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3535
27.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
2681
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4583
5.89 IPS |
|
|
Style Transfer (HP)
|
100% |
12496
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11518
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1261
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1518
56.3 IPS |
|
|
Text Classification (SP)
|
35% |
18
160.1 IPS |
|
|
Text Classification (HP)
|
29% |
10
164.3 IPS |
|
|
Text Classification (Q)
|
29% |
8
146.0 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
43% |
138
8.05 IPS |
