Xiaomi 23090RA98G
Geekbench AI Score
408
Single Precision Score
1537
Half Precision Score
2523
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | FILIP2106Z |
| Upload Date | November 11 2024 09:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
388
72.1 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (Q)
|
99% |
4409
822.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1145
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2284
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
6695
7.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
26869
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (Q)
|
86% |
2433
195.7 IPS |
|
|
Face Detection (SP)
|
28% |
81
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (Q)
|
97% |
7454
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
610
4.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
7383
56.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
15860
150.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1162
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
30% |
406
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4189
154.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3033
441.8 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.3 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (Q)
|
93% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (Q)
|
60% |
266
6.00 IPS |
