HUAWEI BRQ-AL00
Geekbench AI Score
566
Single Precision Score
813
Half Precision Score
661
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 04:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI BRQ-AL00 |
| Model ID | HUAWEI BRQ-AL00 |
| Motherboard | BRQ |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 4 part 3392 revision 0 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.58 GHz |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (HP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (Q)
|
97% |
296
55.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
949
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5115
5.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
4975
5.83 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
99% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
83% |
387
31.2 IPS |
|
|
Face Detection (SP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (Q)
|
96% |
1326
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1456
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2552
19.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1991
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4132
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
8553
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8379
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1048
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1077
39.9 IPS |
|
|
Text Classification (SP)
|
35% |
17
151.1 IPS |
|
|
Text Classification (HP)
|
29% |
10
173.0 IPS |
|
|
Text Classification (Q)
|
32% |
13
168.4 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
43% |
96
5.56 IPS |
