LG Electronics 16Z90TS-G.APV14KB
Geekbench AI Score
2721
Single Precision Score
20395
Half Precision Score
31565
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:34 AM |
| Views | 3 |
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% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
12050
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
17943
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12762
206.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23902
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2916
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
71299
83.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
159975
187.4 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
100% |
15142
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
21940
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
26827
318.8 IPS |
|
|
Face Detection (Q)
|
100% |
60345
717.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4026
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58814
453.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
100112
779.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8754
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
175148
225.2 IPS |
|
|
Style Transfer (Q)
|
98% |
255054
328.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27449
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46190
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (Q)
|
92% |
2386
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3846
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3842
66.2 IPS |
