HONOR BRP-NX1
Geekbench AI Score
319
Single Precision Score
521
Half Precision Score
594
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | NAALFAHMI_ |
| Upload Date | April 18 2026 06:02 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | HONOR BRP-NX1 |
| Model ID | HONOR BRP-NX1 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (Q)
|
99% |
1306
243.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
419
6.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (HP)
|
92% |
1185
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1090
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
97% |
262
20.9 IPS |
|
|
Object Detection (Q)
|
85% |
361
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
598
7.11 IPS |
|
|
Face Detection (Q)
|
97% |
724
8.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
421
3.24 IPS |
|
|
Depth Estimation (HP)
|
98% |
847
6.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
899
8.30 IPS |
|
|
Style Transfer (SP)
|
89% |
1022
1.33 IPS |
|
|
Style Transfer (HP)
|
88% |
1442
1.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1979
2.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
226
8.34 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
455
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.1 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.2 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.9 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (HP)
|
96% |
303
5.24 IPS |
|
|
Machine Translation (Q)
|
55% |
200
5.36 IPS |
