Xiaomi 23116PN5BC
Geekbench AI Score
247
Single Precision Score
256
Half Precision Score
549
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Ichigo |
| Upload Date | August 16 2024 12:48 AM |
| Views | 11 |
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% |
139
25.9 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (Q)
|
97% |
346
64.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
369
6.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
968
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
146
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
89% |
401
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
804
9.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
332
2.56 IPS |
|
|
Depth Estimation (HP)
|
100% |
338
2.60 IPS |
|
|
Depth Estimation (Q)
|
73% |
826
6.76 IPS |
|
|
Style Transfer (SP)
|
100% |
590
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1645
2.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
530
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.0 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.7 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.9 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.89 IPS |
