Xiaomi 23078PND5G
Geekbench AI Score
2164
Single Precision Score
2142
Half Precision Score
3342
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | October 26 2024 03:54 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23078PND5G |
| Model ID | Xiaomi 23078PND5G |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1762
327.6 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.3 IPS |
|
|
Image Classification (Q)
|
100% |
2828
525.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2972
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3073
3.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
7729
9.17 IPS |
|
|
Object Detection (SP)
|
98% |
1553
123.6 IPS |
|
|
Object Detection (HP)
|
98% |
1479
117.7 IPS |
|
|
Object Detection (Q)
|
83% |
2403
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
5637
67.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2931
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5960
54.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7478
9.71 IPS |
|
|
Style Transfer (HP)
|
89% |
7408
9.62 IPS |
|
|
Style Transfer (Q)
|
98% |
15485
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1450
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1545
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
1582
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1740
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (Q)
|
50% |
876
31.1 IPS |
