HUAWEI ALT-L29
Geekbench AI Score
1318
Single Precision Score
1315
Half Precision Score
3141
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 11:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ALT-L29 |
| Model ID | HUAWEI ALT-L29 |
| Motherboard | ALT |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
605
112.5 IPS |
|
|
Image Classification (HP)
|
100% |
611
113.7 IPS |
|
|
Image Classification (Q)
|
100% |
2398
445.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2610
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2710
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2618
3.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
5827
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (Q)
|
83% |
2200
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (Q)
|
95% |
5139
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2467
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2401
18.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4897
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4405
5.72 IPS |
|
|
Style Transfer (HP)
|
89% |
4427
5.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13242
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3369
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
727
970.7 IPS |
|
|
Text Classification (HP)
|
100% |
718
958.3 IPS |
|
|
Text Classification (Q)
|
88% |
1396
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
744
26.4 IPS |
