nubia NX725J
Geekbench AI Score
402
Single Precision Score
582
Half Precision Score
572
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 10:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
96% |
432
80.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
877
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
425
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
630
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
87% |
375
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1427
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
622
4.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1204
9.30 IPS |
|
|
Depth Estimation (Q)
|
63% |
994
9.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1590
2.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3582
4.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3530
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
185
6.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
182
6.74 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.3 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.5 IPS |
|
|
Text Classification (Q)
|
91% |
218
293.4 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.21 IPS |
