HONOR DNP-NX9
Geekbench AI Score
2341
Single Precision Score
2331
Half Precision Score
3332
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 08:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR DNP-NX9 |
| Model ID | HONOR DNP-NX9 |
| Motherboard | DNP |
| 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 | 2.04 GHz |
| Cluster 1 | 2 Cores @ 2.04 GHz |
| Cluster 2 | 5 Cores @ 2.96 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
100% |
2597
483.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3184
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3899
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
8750
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1966
156.5 IPS |
|
|
Object Detection (HP)
|
98% |
1949
155.1 IPS |
|
|
Object Detection (Q)
|
83% |
2120
171.3 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
5176
61.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3365
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3404
26.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5283
48.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8138
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8135
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15386
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1583
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3755
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.2 IPS |
|
|
Text Classification (HP)
|
99% |
666
888.9 IPS |
|
|
Text Classification (Q)
|
88% |
979
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (Q)
|
50% |
713
25.3 IPS |
