HONOR GFY-LX3
Geekbench AI Score
203
Single Precision Score
204
Half Precision Score
248
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 05:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
84
15.6 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.4 IPS |
|
|
Image Classification (Q)
|
100% |
152
28.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
230
3.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
527
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
462
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.65 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.82 IPS |
|
|
Object Detection (Q)
|
83% |
153
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
263
3.12 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
95% |
444
5.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
344
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
340
2.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
411
3.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1071
1.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1068
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
1128
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.76 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
241
8.94 IPS |
|
|
Text Classification (SP)
|
100% |
89
118.3 IPS |
|
|
Text Classification (HP)
|
100% |
88
117.3 IPS |
|
|
Text Classification (Q)
|
88% |
111
150.1 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
122
2.11 IPS |
|
|
Machine Translation (Q)
|
50% |
67
2.38 IPS |
