LG Electronics 15Z80T-XXXXK
Geekbench AI Score
2006
Single Precision Score
886
Half Precision Score
3837
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 23 2025 01:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 15Z80T-XXXXK |
| Motherboard | LG Electronics 15Z80T |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2620
487.3 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
99% |
6447
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3093
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4552
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
11182
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
86% |
2973
238.9 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (Q)
|
97% |
4789
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2948
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.00 IPS |
|
|
Depth Estimation (Q)
|
78% |
6308
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5615
7.22 IPS |
|
|
Style Transfer (HP)
|
100% |
5779
7.43 IPS |
|
|
Style Transfer (Q)
|
98% |
15898
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1517
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.0 IPS |
|
|
Text Classification (Q)
|
97% |
852
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
65% |
1685
33.9 IPS |
