HUAWEI TXZ-W09
Geekbench AI Score
895
Single Precision Score
906
Half Precision Score
1731
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 02:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI TXZ-W09 |
| Model ID | HUAWEI TXZ-W09 |
| Motherboard | TXZ |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3333 revision 1 |
| Base Frequency | 1.31 GHz |
| Cluster 1 | 4 Cores @ 1.31 GHz |
| Cluster 2 | 3 Cores @ 2.05 GHz |
| Cluster 3 | 1 Core @ 2.29 GHz |
| Memory Information | |
|---|---|
| Size | 7.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (Q)
|
100% |
1366
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1556
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1746
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1778
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
2623
3.11 IPS |
|
|
Object Detection (SP)
|
98% |
420
33.5 IPS |
|
|
Object Detection (HP)
|
98% |
424
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1230
99.4 IPS |
|
|
Face Detection (SP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
3018
36.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1538
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1527
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2652
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2856
3.71 IPS |
|
|
Style Transfer (HP)
|
89% |
2879
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6242
8.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
990
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1553
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.6 IPS |
|
|
Text Classification (HP)
|
99% |
548
731.7 IPS |
|
|
Text Classification (Q)
|
88% |
953
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
479
17.0 IPS |
