HUAWEI GRL-LX9
Geekbench AI Score
976
Single Precision Score
979
Half Precision Score
1655
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 02:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI GRL-LX9 |
| Model ID | HUAWEI GRL-LX9 |
| Motherboard | GRL |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3331 revision 0 |
| Base Frequency | 1.55 GHz |
| Cluster 1 | 4 Cores @ 1.55 GHz |
| Cluster 2 | 3 Cores @ 2.18 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 15.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.0 IPS |
|
|
Image Classification (Q)
|
100% |
1276
237.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1409
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2064
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2121
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
2784
3.30 IPS |
|
|
Object Detection (SP)
|
98% |
392
31.2 IPS |
|
|
Object Detection (HP)
|
98% |
411
32.7 IPS |
|
|
Object Detection (Q)
|
83% |
1127
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
2982
35.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1902
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1932
14.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2609
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3370
4.37 IPS |
|
|
Style Transfer (HP)
|
89% |
3205
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6478
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1101
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1071
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1609
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.6 IPS |
|
|
Text Classification (HP)
|
99% |
542
723.8 IPS |
|
|
Text Classification (Q)
|
88% |
879
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
700
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
