HUAWEI LEM-AL00
Geekbench AI Score
1003
Single Precision Score
993
Half Precision Score
1626
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 29 2025 04:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI LEM-AL00 |
| Model ID | HUAWEI LEM-AL00 |
| Motherboard | LEM |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3330 revision 2 |
| Base Frequency | 1.53 GHz |
| Cluster 1 | 4 Cores @ 1.53 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.62 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (Q)
|
100% |
1360
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1578
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2476
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
3132
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
83% |
1102
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.2 IPS |
|
|
Face Detection (Q)
|
95% |
2667
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1807
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1684
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2519
23.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3487
4.53 IPS |
|
|
Style Transfer (HP)
|
89% |
3489
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
5967
7.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1430
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.4 IPS |
|
|
Text Classification (HP)
|
100% |
468
624.0 IPS |
|
|
Text Classification (Q)
|
88% |
732
987.4 IPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
417
14.8 IPS |
