Xiaomi 23028RA60L
Geekbench AI Score
340
Single Precision Score
336
Half Precision Score
445
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 09:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23028RA60L |
| Model ID | Xiaomi 23028RA60L |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
100% |
317
59.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
400
6.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
642
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
289
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
95% |
668
7.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
470
3.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
675
6.18 IPS |
|
|
Style Transfer (SP)
|
89% |
1322
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1325
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1732
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
382
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
182
243.1 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.2 IPS |
|
|
Text Classification (Q)
|
88% |
273
368.4 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.72 IPS |
