Intel Corporation Lunar Lake Client Platform
Geekbench AI Score
3235
Single Precision Score
19636
Half Precision Score
27548
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 09:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Intel Corporation Lunar Lake Client Platform |
| Motherboard | Intel Corporation LNL-M ADK RVP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1982
368.5 IPS |
|
|
Image Classification (HP)
|
100% |
12543
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
16428
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5689
92.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6298
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3471
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
103785
121.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
203655
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
13794
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
19382
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
5693
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
26139
310.6 IPS |
|
|
Face Detection (Q)
|
100% |
47156
560.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4856
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
69851
538.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
105879
824.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10389
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205262
263.9 IPS |
|
|
Style Transfer (Q)
|
98% |
311168
401.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34251
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60143
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2593
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
2655
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2485
42.8 IPS |
