Nubia Red Magic 8 Pro
Geekbench AI Score
621
Single Precision Score
799
Half Precision Score
788
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 04:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Nubia Red Magic 8 Pro |
| Model ID | nubia NX729J |
| 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% |
501
93.1 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
96% |
497
92.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1094
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
672
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1049
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1042
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
87% |
674
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
1598
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1112
8.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
2015
15.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1797
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2857
3.67 IPS |
|
|
Style Transfer (HP)
|
100% |
6594
8.48 IPS |
|
|
Style Transfer (Q)
|
98% |
6394
8.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
223
8.26 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.9 IPS |
|
|
Text Classification (HP)
|
100% |
149
199.5 IPS |
|
|
Text Classification (Q)
|
91% |
262
351.7 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
57% |
227
5.54 IPS |
