nubia NX721J
Geekbench AI Score
2560
Single Precision Score
2494
Half Precision Score
4125
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 01:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX721J |
| Model ID | nubia NX721J |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
1807
336.1 IPS |
|
|
Image Classification (Q)
|
100% |
2987
555.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3641
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4218
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3976
4.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
9280
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1660
132.1 IPS |
|
|
Object Detection (HP)
|
98% |
1934
153.9 IPS |
|
|
Object Detection (Q)
|
83% |
2890
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
3615
42.9 IPS |
|
|
Face Detection (Q)
|
95% |
6684
79.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3790
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3542
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6907
63.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9871
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9515
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19567
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5056
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1326
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
809
28.7 IPS |
