HUAWEI NCO-LX1
Geekbench AI Score
906
Single Precision Score
907
Half Precision Score
1998
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 10:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
456
84.8 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
100% |
1403
260.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1664
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1980
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2001
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3753
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
83% |
1377
111.3 IPS |
|
|
Face Detection (SP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
3338
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1527
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1536
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3383
31.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3625
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3637
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
8513
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2044
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
497
663.7 IPS |
|
|
Text Classification (HP)
|
100% |
487
649.9 IPS |
|
|
Text Classification (Q)
|
88% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
450
16.0 IPS |
