Xiaomi 23078PND5G
Geekbench AI Score
517
Single Precision Score
2307
Half Precision Score
3236
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
668
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.1 IPS |
|
|
Image Classification (Q)
|
99% |
6331
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1256
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2911
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
8226
9.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
33011
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.1 IPS |
|
|
Object Detection (HP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (Q)
|
86% |
3583
288.2 IPS |
|
|
Face Detection (SP)
|
28% |
99
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
6998
83.1 IPS |
|
|
Face Detection (Q)
|
97% |
10359
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
860
6.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
9935
76.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
23071
219.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2024
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
667
0.86 IPS |
|
|
Style Transfer (Q)
|
30% |
413
6.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4317
628.8 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.4 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.9 IPS |
|
|
Text Classification (Q)
|
93% |
960
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (Q)
|
60% |
328
7.39 IPS |
