nubia NX721J
Geekbench AI Score
2979
Single Precision Score
2916
Half Precision Score
4740
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.6 IPS |
|
|
Image Classification (Q)
|
100% |
3811
708.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2628
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4202
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4459
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4287
5.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
9962
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2229
177.4 IPS |
|
|
Object Detection (HP)
|
98% |
2260
179.9 IPS |
|
|
Object Detection (Q)
|
83% |
3461
279.6 IPS |
|
|
Face Detection (SP)
|
100% |
4330
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (Q)
|
95% |
7695
91.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4418
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4390
33.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7575
69.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10494
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10633
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20504
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5484
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
1076
1.44 KIPS |
|
|
Text Classification (HP)
|
99% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1666
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (Q)
|
50% |
950
33.7 IPS |
