nubia NX769J
Geekbench AI Score
3083
Single Precision Score
3055
Half Precision Score
5116
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | nubia NX769J |
| Model ID | nubia NX769J |
| 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 @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (Q)
|
100% |
3901
725.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2659
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4441
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4995
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4739
5.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
11067
13.1 IPS |
|
|
Object Detection (SP)
|
98% |
2424
192.9 IPS |
|
|
Object Detection (HP)
|
98% |
2449
194.9 IPS |
|
|
Object Detection (Q)
|
87% |
3763
302.2 IPS |
|
|
Face Detection (SP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (Q)
|
95% |
8290
99.0 IPS |
|
|
Depth Estimation (SP)
|
98% |
4554
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4617
35.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
9479
76.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11596
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11459
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23891
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2333
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5958
220.8 IPS |
|
|
Text Classification (SP)
|
100% |
1107
1.48 KIPS |
|
|
Text Classification (HP)
|
99% |
1109
1.48 KIPS |
|
|
Text Classification (Q)
|
88% |
1634
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (Q)
|
50% |
933
33.1 IPS |
