HUAWEI GOA-LX9
Geekbench AI Score
447
Single Precision Score
699
Half Precision Score
646
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 28 2025 10:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM SM7325 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI GOA-LX9 |
| Model ID | HUAWEI GOA-LX9 |
| Motherboard | GOA |
| 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 | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
344
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
99% |
438
81.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1882
2.20 IPS |
|
|
Pose Estimation (HP)
|
99% |
3341
3.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
3290
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
99% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
85% |
329
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
1235
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1126
8.68 IPS |
|
|
Depth Estimation (HP)
|
98% |
1877
14.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
1565
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2254
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
4728
6.08 IPS |
|
|
Style Transfer (Q)
|
98% |
4680
6.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
707
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
706
26.2 IPS |
|
|
Text Classification (SP)
|
35% |
16
159.4 IPS |
|
|
Text Classification (HP)
|
35% |
25
225.3 IPS |
|
|
Text Classification (Q)
|
35% |
24
220.5 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (HP)
|
97% |
271
4.68 IPS |
|
|
Machine Translation (Q)
|
64% |
213
4.38 IPS |
