HONOR DNP-NX9
Geekbench AI Score
1409
Single Precision Score
1319
Half Precision Score
2114
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 01:23 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% |
1591
295.8 IPS |
|
|
Image Classification (HP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (Q)
|
100% |
1959
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1216
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2661
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2734
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
5585
6.62 IPS |
|
|
Object Detection (SP)
|
98% |
1204
95.8 IPS |
|
|
Object Detection (HP)
|
98% |
1428
113.6 IPS |
|
|
Object Detection (Q)
|
83% |
2356
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (Q)
|
95% |
3019
36.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1621
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1645
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2781
25.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4167
5.41 IPS |
|
|
Style Transfer (HP)
|
89% |
3970
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
13654
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2033
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
337
450.4 IPS |
|
|
Text Classification (HP)
|
99% |
376
502.0 IPS |
|
|
Text Classification (Q)
|
88% |
649
875.3 IPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
