Xiaomi 23078PND5G
Geekbench AI Score
743
Single Precision Score
863
Half Precision Score
835
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | September 18 2024 02:37 AM |
| Views | 2 |
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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (Q)
|
99% |
271
50.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1136
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
701
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1001
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (Q)
|
83% |
521
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
1855
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1240
9.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
1460
11.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1173
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3425
4.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4585
5.89 IPS |
|
|
Style Transfer (Q)
|
98% |
4529
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
721
26.7 IPS |
|
|
Text Classification (SP)
|
100% |
311
415.3 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.1 IPS |
|
|
Text Classification (Q)
|
91% |
453
609.2 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.79 IPS |
