HUAWEI TGR-W09
Geekbench AI Score
371
Single Precision Score
476
Half Precision Score
413
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 06:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
208
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
100% |
264
49.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
432
7.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
1371
1.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
2018
2.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
2004
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
99% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
85% |
227
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
804
9.56 IPS |
|
|
Face Detection (HP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
1087
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
806
6.21 IPS |
|
|
Depth Estimation (HP)
|
98% |
1145
8.85 IPS |
|
|
Depth Estimation (Q)
|
61% |
899
8.88 IPS |
|
|
Style Transfer (SP)
|
100% |
2092
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
3016
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
3026
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
573
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
833
30.9 IPS |
|
|
Text Classification (SP)
|
35% |
17
156.3 IPS |
|
|
Text Classification (HP)
|
29% |
12
201.7 IPS |
|
|
Text Classification (Q)
|
29% |
11
190.0 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (Q)
|
48% |
104
3.97 IPS |
