LG Electronics 17ZD90TR-SX59K
Geekbench AI Score
9407
Single Precision Score
19395
Half Precision Score
26613
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | trgk |
| Upload Date | March 23 2025 12:36 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 17ZD90TR-SX59K |
| Motherboard | LG Electronics 17Z90TR |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6504
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
9032
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
14090
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8477
137.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16272
263.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24421
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21174
24.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90012
105.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
172886
202.4 IPS |
|
|
Object Detection (SP)
|
100% |
6090
483.0 IPS |
|
|
Object Detection (HP)
|
100% |
10292
816.4 IPS |
|
|
Object Detection (Q)
|
88% |
14893
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
11131
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
19662
233.6 IPS |
|
|
Face Detection (Q)
|
100% |
30505
362.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18543
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33381
257.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
54703
425.2 IPS |
|
|
Style Transfer (SP)
|
100% |
52814
67.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153100
196.8 IPS |
|
|
Style Transfer (Q)
|
98% |
231869
299.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9181
339.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28726
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35683
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2835
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5049
87.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5140
88.5 IPS |
