HONOR BRP-NX3
Geekbench AI Score
635
Single Precision Score
631
Half Precision Score
1307
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 11:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR BRP-NX3 |
| Model ID | HONOR BRP-NX3 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.5 IPS |
|
|
Image Classification (Q)
|
100% |
1345
250.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1558
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1948
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1900
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
3476
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
1286
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3157
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1507
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1499
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3161
29.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3419
4.44 IPS |
|
|
Style Transfer (HP)
|
89% |
3476
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
5922
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
263
9.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
615
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
156
207.6 IPS |
|
|
Text Classification (HP)
|
100% |
154
206.2 IPS |
|
|
Text Classification (Q)
|
88% |
255
343.3 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
168
5.96 IPS |
