Xiaomi 23116PN5BC
Geekbench AI Score
458
Single Precision Score
13190
Half Precision Score
35869
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Azusa_Ke |
| Upload Date | October 31 2024 04:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
13567
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
40169
7.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
26095
424.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
62408
72.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
331241
387.7 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
12719
1.01 KIPS |
|
|
Object Detection (Q)
|
86% |
17174
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
671
7.97 IPS |
|
|
Face Detection (HP)
|
100% |
28844
342.7 IPS |
|
|
Face Detection (Q)
|
97% |
112560
1.34 KIPS |
|
|
Depth Estimation (SP)
|
100% |
590
4.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
49628
382.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
107979
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
940
1.21 IPS |
|
|
Style Transfer (HP)
|
24% |
3150
95.3 IPS |
|
|
Style Transfer (Q)
|
98% |
270146
348.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33881
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
109885
4.07 KIPS |
|
|
Text Classification (SP)
|
100% |
409
545.7 IPS |
|
|
Text Classification (HP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6255
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (Q)
|
30% |
262
52.7 IPS |
