Xiaomi 23078PND5G
Geekbench AI Score
738
Single Precision Score
904
Half Precision Score
833
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:52 AM |
| Views | 1 |
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% |
309
57.5 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (Q)
|
99% |
299
55.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1187
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1019
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1012
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
551
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2018
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
1847
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1222
9.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
1482
11.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1177
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3411
4.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4603
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
4581
5.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
711
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.6 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.3 IPS |
|
|
Text Classification (Q)
|
91% |
397
533.7 IPS |
|
|
Machine Translation (SP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.10 IPS |
