HONOR DNP-NX9
Geekbench AI Score
2876
Single Precision Score
2852
Half Precision Score
4820
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 09:33 PM |
| Views | 3 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (Q)
|
100% |
3851
716.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4433
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4288
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4233
4.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
10190
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2247
178.8 IPS |
|
|
Object Detection (HP)
|
98% |
2073
164.9 IPS |
|
|
Object Detection (Q)
|
83% |
3583
289.5 IPS |
|
|
Face Detection (SP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4287
50.9 IPS |
|
|
Face Detection (Q)
|
95% |
8122
97.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4221
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4057
31.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7610
69.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10101
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9990
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20425
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5292
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
99% |
1118
1.49 KIPS |
|
|
Text Classification (Q)
|
88% |
1701
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (Q)
|
50% |
956
33.9 IPS |
