Xiaomi 23073RPBFL
Geekbench AI Score
359
Single Precision Score
358
Half Precision Score
461
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 04:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23073RPBFL |
| Model ID | Xiaomi 23073RPBFL |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.6 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
100% |
311
57.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
386
6.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
769
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
643
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
291
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
95% |
735
8.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
664
5.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
590
4.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
715
6.55 IPS |
|
|
Style Transfer (SP)
|
89% |
1395
1.81 IPS |
|
|
Style Transfer (HP)
|
89% |
1412
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1842
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
342
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
342
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
409
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.1 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.1 IPS |
|
|
Text Classification (Q)
|
88% |
286
385.2 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
50% |
173
6.14 IPS |
