Xiaomi 23078PND5G
Geekbench AI Score
751
Single Precision Score
859
Half Precision Score
838
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | October 17 2024 08:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
310
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (Q)
|
99% |
274
51.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1010
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1003
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
495
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
1870
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
1966
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
1917
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1249
9.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
1477
11.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1181
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3408
4.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4608
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
4556
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
735
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
728
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.4 IPS |
|
|
Text Classification (HP)
|
100% |
309
413.1 IPS |
|
|
Text Classification (Q)
|
91% |
463
622.1 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (Q)
|
57% |
317
7.75 IPS |
