Xiaomi 23116PN5BC
Geekbench AI Score
1156
Single Precision Score
1599
Half Precision Score
1559
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | wudi890 |
| Upload Date | September 10 2024 05:19 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23116PN5BC |
| Model ID | Xiaomi 23116PN5BC |
| Motherboard | shennong |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
96% |
570
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1092
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2553
2.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
2530
2.96 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (HP)
|
100% |
743
59.0 IPS |
|
|
Object Detection (Q)
|
87% |
1018
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (Q)
|
97% |
2269
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1865
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3717
28.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3081
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6740
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
10828
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10539
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1618
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1528
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.3 IPS |
|
|
Text Classification (HP)
|
100% |
471
628.4 IPS |
|
|
Text Classification (Q)
|
91% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
57% |
613
15.0 IPS |
