HUAWEI TXZ-W09
Geekbench AI Score
851
Single Precision Score
872
Half Precision Score
1716
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 05:32 AM |
| 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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (Q)
|
100% |
1366
253.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1557
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1649
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1686
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
2464
2.92 IPS |
|
|
Object Detection (SP)
|
98% |
410
32.7 IPS |
|
|
Object Detection (HP)
|
98% |
463
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
1273
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3039
36.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1297
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1322
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2570
23.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2676
3.47 IPS |
|
|
Style Transfer (HP)
|
89% |
2913
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
5839
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1547
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.4 IPS |
|
|
Text Classification (HP)
|
99% |
542
724.0 IPS |
|
|
Text Classification (Q)
|
88% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
495
17.6 IPS |
