Nubia Red Magic 8 Pro
Geekbench AI Score
915
Single Precision Score
927
Half Precision Score
1524
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 08:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
410
76.2 IPS |
|
|
Image Classification (HP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (Q)
|
100% |
1053
195.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1042
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1463
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1759
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
3557
4.22 IPS |
|
|
Object Detection (SP)
|
98% |
693
55.2 IPS |
|
|
Object Detection (HP)
|
98% |
701
55.8 IPS |
|
|
Object Detection (Q)
|
83% |
972
78.5 IPS |
|
|
Face Detection (SP)
|
100% |
1192
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2118
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1618
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1478
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2295
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3610
4.69 IPS |
|
|
Style Transfer (HP)
|
89% |
2579
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6936
8.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
773
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1855
68.8 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.6 IPS |
|
|
Text Classification (HP)
|
99% |
428
571.7 IPS |
|
|
Text Classification (Q)
|
88% |
642
865.4 IPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.8 IPS |
