HUAWEI FOA-LX9
Geekbench AI Score
538
Single Precision Score
830
Half Precision Score
764
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2025 11:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM SM7325 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI FOA-LX9 |
| Model ID | HUAWEI FOA-LX9 |
| Motherboard | FOA |
| 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% |
381
70.8 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
99% |
520
96.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (HP)
|
99% |
3953
4.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
3935
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
99% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
85% |
398
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1363
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1352
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2235
17.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
1866
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2755
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
5718
7.35 IPS |
|
|
Style Transfer (Q)
|
98% |
5624
7.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
578
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
821
30.4 IPS |
|
|
Text Classification (SP)
|
35% |
21
202.8 IPS |
|
|
Text Classification (HP)
|
35% |
31
279.9 IPS |
|
|
Text Classification (Q)
|
35% |
31
279.2 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.50 IPS |
|
|
Machine Translation (HP)
|
97% |
316
5.46 IPS |
|
|
Machine Translation (Q)
|
64% |
246
5.05 IPS |
