HONOR RMO-NX1
Geekbench AI Score
183
Single Precision Score
275
Half Precision Score
284
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
106
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
97% |
182
34.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
208
3.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
217
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
283
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.17 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.4 IPS |
|
|
Object Detection (Q)
|
89% |
144
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
247
2.94 IPS |
|
|
Face Detection (HP)
|
100% |
436
5.19 IPS |
|
|
Face Detection (Q)
|
97% |
451
5.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
425
3.28 IPS |
|
|
Depth Estimation (Q)
|
62% |
354
3.35 IPS |
|
|
Style Transfer (SP)
|
100% |
486
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1035
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
1027
1.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
204
7.57 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.6 IPS |
|
|
Text Classification (HP)
|
100% |
162
215.9 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.7 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (Q)
|
57% |
215
5.25 IPS |
