HUAWEI BTK-W09
Geekbench AI Score
874
Single Precision Score
848
Half Precision Score
2340
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 16 2025 10:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI BTK-W09 |
| Model ID | HUAWEI BTK-W09 |
| Motherboard | BTK |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
100% |
1839
342.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
2038
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1829
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1808
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
4465
5.30 IPS |
|
|
Object Detection (SP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
83% |
1553
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
95% |
3373
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1477
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1524
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3937
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3187
4.14 IPS |
|
|
Style Transfer (HP)
|
89% |
3111
4.04 IPS |
|
|
Style Transfer (Q)
|
98% |
10220
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2744
101.7 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.3 IPS |
|
|
Text Classification (HP)
|
100% |
522
696.8 IPS |
|
|
Text Classification (Q)
|
88% |
1104
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
