HONOR RMO-NX1
Geekbench AI Score
218
Single Precision Score
364
Half Precision Score
913
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM SM6375 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HONOR RMO-NX1 |
| Model ID | HONOR RMO-NX1 |
| Motherboard | RMO |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM6375 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
97% |
615
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
790
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1239
1.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
4679
5.48 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
99% |
291
23.0 IPS |
|
|
Object Detection (Q)
|
85% |
697
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
534
6.34 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
97% |
1907
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
342
2.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
254
1.96 IPS |
|
|
Depth Estimation (Q)
|
63% |
3017
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
897
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
438
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2201
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2037
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
3
4.18 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.4 IPS |
|
|
Text Classification (Q)
|
93% |
68
90.7 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
54% |
146
4.11 IPS |
