nubia NX725J
Geekbench AI Score
791
Single Precision Score
782
Half Precision Score
1490
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 06:51 PM |
| Views | 6 |
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% |
800
148.8 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
100% |
1000
186.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1525
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1810
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1503
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2909
3.45 IPS |
|
|
Object Detection (SP)
|
98% |
387
30.8 IPS |
|
|
Object Detection (HP)
|
98% |
421
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
994
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
2492
29.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1177
9.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
1397
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2328
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2691
3.49 IPS |
|
|
Style Transfer (HP)
|
89% |
2991
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6738
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1539
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.7 IPS |
|
|
Text Classification (HP)
|
99% |
294
391.9 IPS |
|
|
Text Classification (Q)
|
88% |
506
682.5 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
403
14.3 IPS |
