LG Electronics 16Z90TS-G.APV14KB
Geekbench AI Score
2707
Single Precision Score
20305
Half Precision Score
31309
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:27 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% |
1643
305.6 IPS |
|
|
Image Classification (HP)
|
100% |
11934
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
17886
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12958
210.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23431
379.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2927
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
71308
83.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
170695
200.0 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
14560
1.15 KIPS |
|
|
Object Detection (Q)
|
87% |
21929
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
26559
315.6 IPS |
|
|
Face Detection (Q)
|
100% |
55653
661.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3923
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64049
493.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
100397
781.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8601
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
177344
228.0 IPS |
|
|
Style Transfer (Q)
|
98% |
244276
315.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24002
886.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44966
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2449
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3839
66.1 IPS |
