HUAWEI BRQ-AL00
Geekbench AI Score
496
Single Precision Score
444
Half Precision Score
987
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 03:47 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
412
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.3 IPS |
|
|
Image Classification (Q)
|
100% |
1221
227.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
1473
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1773
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1672
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
3276
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
83% |
1193
96.4 IPS |
|
|
Face Detection (SP)
|
100% |
955
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (Q)
|
95% |
770
9.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
482
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
486
3.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1004
9.20 IPS |
|
|
Style Transfer (SP)
|
89% |
1044
1.36 IPS |
|
|
Style Transfer (HP)
|
89% |
1051
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2317
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
226
8.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
603
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
154
204.9 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.4 IPS |
|
|
Text Classification (Q)
|
88% |
427
576.2 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
50% |
272
9.66 IPS |
