Xiaomi 23090RA98G
Geekbench AI Score
894
Single Precision Score
886
Half Precision Score
1538
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
694
129.1 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (Q)
|
100% |
1061
197.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1140
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1318
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1218
1.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
3035
3.60 IPS |
|
|
Object Detection (SP)
|
98% |
604
48.1 IPS |
|
|
Object Detection (HP)
|
98% |
608
48.4 IPS |
|
|
Object Detection (Q)
|
83% |
933
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1253
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
2199
26.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1303
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1282
9.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
2323
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3047
3.95 IPS |
|
|
Style Transfer (HP)
|
89% |
3075
3.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6389
8.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
570
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1520
56.3 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.5 IPS |
|
|
Text Classification (HP)
|
99% |
299
399.6 IPS |
|
|
Text Classification (Q)
|
88% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.3 IPS |
