HUAWEI NCO-LX1
Geekbench AI Score
309
Single Precision Score
542
Half Precision Score
142
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 12:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM SM7325 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI NCO-LX1 |
| Model ID | HUAWEI NCO-LX1 |
| Motherboard | NCO |
| CPU Information | |
|---|---|
| Name | ARM SM7325 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.24 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
375
6.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
902
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
874
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
99% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
2% |
8
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (HP)
|
100% |
311
3.70 IPS |
|
|
Face Detection (Q)
|
97% |
734
8.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
442
3.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
5% |
35
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1231
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
474
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1364
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.39 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.06 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.9 IPS |
|
|
Text Classification (Q)
|
93% |
31
41.4 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.82 IPS |
