LG Electronics 16Z90TS-G.APV14KB
Geekbench AI Score
2708
Single Precision Score
20694
Half Precision Score
31930
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16Z90TS-G.APV14KB |
| Motherboard | LG Electronics 16Z90TS |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
12620
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
17994
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12770
207.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23809
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2909
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
71194
83.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
160076
187.5 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
14851
1.18 KIPS |
|
|
Object Detection (Q)
|
87% |
22302
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
4737
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
25863
307.3 IPS |
|
|
Face Detection (Q)
|
100% |
60343
717.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4072
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
64667
498.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
92817
722.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8709
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
180755
232.4 IPS |
|
|
Style Transfer (Q)
|
98% |
271347
349.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1798
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26326
972.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
48055
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2734
3.65 KIPS |
|
|
Text Classification (Q)
|
92% |
2552
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2980
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3865
66.6 IPS |
