nubia NX769J
Geekbench AI Score
2718
Single Precision Score
2624
Half Precision Score
4128
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 01:21 PM |
| Views | 1 |
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 | 14.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2371
440.9 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (Q)
|
100% |
3719
691.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2673
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4221
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4614
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4435
5.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
9573
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
2075
165.1 IPS |
|
|
Object Detection (HP)
|
98% |
1834
146.0 IPS |
|
|
Object Detection (Q)
|
83% |
2651
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (Q)
|
95% |
6280
75.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3920
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3909
30.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6429
58.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9758
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9726
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19074
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4781
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1268
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
774
27.5 IPS |
