LG Electronics 16Z90TS-GPV25KB
Geekbench AI Score
2479
Single Precision Score
19187
Half Precision Score
26920
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 09:18 AM |
| Views | 2 |
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-GPV25KB |
| 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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
12317
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
17337
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9911
160.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11726
190.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2835
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
70820
82.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
166033
194.5 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
13153
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
18532
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
22783
270.7 IPS |
|
|
Face Detection (Q)
|
100% |
39359
467.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3922
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
60025
462.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
94979
739.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8501
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
180501
232.0 IPS |
|
|
Style Transfer (Q)
|
98% |
269029
346.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28917
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44845
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2441
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2938
50.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2903
50.0 IPS |
