nubia NX725J
Geekbench AI Score
871
Single Precision Score
864
Half Precision Score
1454
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 03:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
595
110.6 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
100% |
1089
202.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1051
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1479
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1587
1.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
2990
3.55 IPS |
|
|
Object Detection (SP)
|
98% |
645
51.4 IPS |
|
|
Object Detection (HP)
|
98% |
685
54.5 IPS |
|
|
Object Detection (Q)
|
83% |
990
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2511
30.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1460
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1406
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2488
22.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3084
4.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3287
4.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6815
8.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1529
56.7 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.4 IPS |
|
|
Text Classification (HP)
|
99% |
271
361.7 IPS |
|
|
Text Classification (Q)
|
88% |
524
707.0 IPS |
|
|
Machine Translation (SP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
366
13.0 IPS |
