HONOR GFY-LX3
Geekbench AI Score
92
Single Precision Score
91
Half Precision Score
65
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR GFY-LX3 |
| Model ID | HONOR GFY-LX3 |
| Motherboard | GFY |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 4 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
50
9.24 IPS |
|
|
Image Classification (HP)
|
100% |
47
8.83 IPS |
|
|
Image Classification (Q)
|
97% |
44
8.16 IPS |
|
|
Image Segmentation (SP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
71
1.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
66
1.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
259
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.88 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.90 IPS |
|
|
Object Detection (Q)
|
83% |
45
3.60 IPS |
|
|
Face Detection (SP)
|
100% |
136
1.61 IPS |
|
|
Face Detection (HP)
|
100% |
120
1.43 IPS |
|
|
Face Detection (Q)
|
97% |
82
0.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
178
1.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
202
1.56 IPS |
|
|
Depth Estimation (Q)
|
63% |
124
1.15 IPS |
|
|
Style Transfer (SP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
532
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
117
4.33 IPS |
|
|
Text Classification (SP)
|
35% |
6
58.8 IPS |
|
|
Text Classification (HP)
|
35% |
6
60.0 IPS |
|
|
Text Classification (Q)
|
32% |
4
56.3 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
83
1.44 IPS |
|
|
Machine Translation (Q)
|
41% |
16
1.07 IPS |
