nubia NX721J
Geekbench AI Score
324
Single Precision Score
338
Half Precision Score
737
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (Q)
|
99% |
807
150.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
793
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2077
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
87% |
379
30.4 IPS |
|
|
Face Detection (SP)
|
100% |
413
4.91 IPS |
|
|
Face Detection (HP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (Q)
|
97% |
792
9.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
329
2.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1569
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1061
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
755
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1623
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
157
5.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
532
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.9 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.1 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.89 IPS |
