HONOR BRP-NX1M
Geekbench AI Score
194
Single Precision Score
194
Half Precision Score
472
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 04:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
114
21.3 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
99% |
313
58.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
349
5.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
809
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.06 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.08 IPS |
|
|
Object Detection (Q)
|
87% |
337
27.0 IPS |
|
|
Face Detection (SP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
679
8.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
250
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
621
5.63 IPS |
|
|
Style Transfer (SP)
|
100% |
439
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
437
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1233
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
436
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.5 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.7 IPS |
|
|
Text Classification (Q)
|
91% |
316
425.2 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.41 IPS |
