HONOR DNP-NX9
Geekbench AI Score
2398
Single Precision Score
2337
Half Precision Score
3516
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 04:54 PM |
| Views | 1 |
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% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
1942
361.1 IPS |
|
|
Image Classification (Q)
|
100% |
2811
522.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3174
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3886
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3819
4.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
8759
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1957
155.8 IPS |
|
|
Object Detection (HP)
|
98% |
1768
140.7 IPS |
|
|
Object Detection (Q)
|
83% |
2715
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
3851
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (Q)
|
95% |
5864
70.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3267
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3348
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5249
48.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8127
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8184
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15186
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3820
141.5 IPS |
|
|
Text Classification (SP)
|
100% |
712
951.0 IPS |
|
|
Text Classification (HP)
|
99% |
709
946.3 IPS |
|
|
Text Classification (Q)
|
88% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
707
25.1 IPS |
