HUAWEI ALT-AL00
Geekbench AI Score
757
Single Precision Score
1059
Half Precision Score
1018
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ALT-AL00 |
| Model ID | HUAWEI ALT-AL00 |
| 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% |
557
103.6 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
97% |
468
87.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1028
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1302
1.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
1300
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
89% |
689
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2189
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1143
8.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
2594
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2112
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2927
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6461
8.31 IPS |
|
|
Style Transfer (Q)
|
98% |
6484
8.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.1 IPS |
|
|
Text Classification (HP)
|
100% |
307
409.2 IPS |
|
|
Text Classification (Q)
|
91% |
554
745.0 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
57% |
336
8.20 IPS |
