HUAWEI BLK-AL80
Geekbench AI Score
694
Single Precision Score
1127
Half Precision Score
942
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 29 2025 05:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI BLK-AL80 |
| Model ID | HUAWEI BLK-AL80 |
| Motherboard | BLK |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 3 Cores @ 2.19 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
423
78.6 IPS |
|
|
Image Classification (HP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (Q)
|
97% |
598
111.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1208
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4558
5.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
4871
5.71 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
99% |
754
59.8 IPS |
|
|
Object Detection (Q)
|
83% |
685
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
2251
26.7 IPS |
|
|
Face Detection (Q)
|
96% |
1880
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1681
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3109
24.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2359
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3809
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
9883
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9852
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1510
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1517
56.2 IPS |
|
|
Text Classification (SP)
|
35% |
32
292.8 IPS |
|
|
Text Classification (HP)
|
29% |
23
396.5 IPS |
|
|
Text Classification (Q)
|
32% |
28
361.6 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.24 IPS |
|
|
Machine Translation (Q)
|
43% |
123
7.18 IPS |
