HONOR BRP-NX1M
Geekbench AI Score
394
Single Precision Score
388
Half Precision Score
734
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 18 2024 11:54 AM |
| Views | 47 |
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% |
421
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
100% |
1333
247.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1439
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1170
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
83% |
390
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (Q)
|
95% |
803
9.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
425
3.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
992
9.09 IPS |
|
|
Style Transfer (SP)
|
89% |
1110
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1112
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2465
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
155
207.0 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.1 IPS |
|
|
Text Classification (Q)
|
88% |
258
347.4 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
167
5.94 IPS |
