Xiaomi 23076PC4BI
Geekbench AI Score
419
Single Precision Score
453
Half Precision Score
834
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23076PC4BI |
| Model ID | Xiaomi 23076PC4BI |
| Motherboard | sky |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
99
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (Q)
|
100% |
625
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
702
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1057
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1058
1.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
1383
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
83% |
553
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.80 IPS |
|
|
Face Detection (Q)
|
95% |
1344
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
897
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1287
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1651
2.14 IPS |
|
|
Style Transfer (HP)
|
89% |
1661
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
3388
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
197
263.1 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.0 IPS |
|
|
Text Classification (Q)
|
88% |
379
511.4 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
50% |
283
10.0 IPS |
