HUAWEI TGR-W09
Geekbench AI Score
1075
Single Precision Score
1079
Half Precision Score
1793
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 06:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI TGR-W09 |
| Model ID | HUAWEI TGR-W09 |
| Motherboard | TGR |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3330 revision 2 |
| Base Frequency | 1.53 GHz |
| Cluster 1 | 4 Cores @ 1.53 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.49 GHz |
| Memory Information | |
|---|---|
| Size | 7.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.3 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
100% |
1226
228.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2374
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2259
2.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
3053
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
83% |
1298
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
1494
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1519
18.0 IPS |
|
|
Face Detection (Q)
|
95% |
3267
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2037
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2071
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2976
27.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3892
5.05 IPS |
|
|
Style Transfer (HP)
|
89% |
3915
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
7081
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1781
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
562
749.6 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.7 IPS |
|
|
Text Classification (Q)
|
88% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
494
17.5 IPS |
