Xiaomi 23078PND5G
Geekbench AI Score
1617
Single Precision Score
1473
Half Precision Score
2396
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1191
221.5 IPS |
|
|
Image Classification (HP)
|
100% |
1212
225.4 IPS |
|
|
Image Classification (Q)
|
100% |
2017
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2071
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2328
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
5649
6.70 IPS |
|
|
Object Detection (SP)
|
98% |
1018
81.0 IPS |
|
|
Object Detection (HP)
|
98% |
1209
96.2 IPS |
|
|
Object Detection (Q)
|
83% |
1577
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
2512
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (Q)
|
95% |
3291
39.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2372
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2388
18.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4335
39.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5629
7.31 IPS |
|
|
Style Transfer (HP)
|
89% |
5594
7.26 IPS |
|
|
Style Transfer (Q)
|
98% |
11158
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2375
88.0 IPS |
|
|
Text Classification (SP)
|
100% |
622
830.7 IPS |
|
|
Text Classification (HP)
|
99% |
216
288.3 IPS |
|
|
Text Classification (Q)
|
88% |
733
988.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.6 IPS |
