HONOR BRP-NX1M
Geekbench AI Score
672
Single Precision Score
662
Half Precision Score
1207
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 01:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR BRP-NX1M |
| Model ID | HONOR BRP-NX1M |
| 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% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
100% |
1339
249.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
1550
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1940
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1941
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3470
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
83% |
1124
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1031
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2792
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1434
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1460
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2717
24.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3149
4.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3069
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
5442
7.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
802
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
562
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
141
188.8 IPS |
|
|
Text Classification (HP)
|
100% |
141
187.7 IPS |
|
|
Text Classification (Q)
|
88% |
231
311.5 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (Q)
|
50% |
152
5.41 IPS |
