nubia NX725J
Geekbench AI Score
738
Single Precision Score
710
Half Precision Score
1445
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 10:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | nubia NX725J |
| Model ID | nubia NX725J |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (Q)
|
100% |
997
185.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1095
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1391
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1372
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
3037
3.60 IPS |
|
|
Object Detection (SP)
|
98% |
393
31.3 IPS |
|
|
Object Detection (HP)
|
98% |
386
30.7 IPS |
|
|
Object Detection (Q)
|
83% |
1035
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
2112
25.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1520
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
2766
25.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2759
3.58 IPS |
|
|
Style Transfer (HP)
|
89% |
3145
4.08 IPS |
|
|
Style Transfer (Q)
|
98% |
6148
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1527
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
318
424.9 IPS |
|
|
Text Classification (HP)
|
99% |
297
396.2 IPS |
|
|
Text Classification (Q)
|
88% |
550
742.0 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.02 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
