Notebook L2x0LUx
Geekbench AI Score
17617
Single Precision Score
17715
Half Precision Score
23766
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 05:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Notebook L2x0LUx |
| Motherboard | Notebook L2x0LUx |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11420
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
11602
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
17098
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4575
74.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4667
75.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6536
106.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
100335
117.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
97366
113.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
190357
223.0 IPS |
|
|
Object Detection (SP)
|
98% |
13572
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
13698
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
17728
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
25469
302.6 IPS |
|
|
Face Detection (HP)
|
100% |
23726
281.9 IPS |
|
|
Face Detection (Q)
|
100% |
43481
516.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
67559
520.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67710
521.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
93663
742.0 IPS |
|
|
Style Transfer (SP)
|
100% |
212823
273.6 IPS |
|
|
Style Transfer (HP)
|
100% |
216733
278.6 IPS |
|
|
Style Transfer (Q)
|
98% |
283370
365.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24721
912.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27198
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33524
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2025
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
2205
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (Q)
|
89% |
1787
31.1 IPS |
