Intel Corporation Lunar Lake Client Platform
Geekbench AI Score
2764
Single Precision Score
2756
Half Precision Score
6997
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 03:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V 3.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Intel Corporation Lunar Lake Client Platform |
| Motherboard | Intel Corporation LNL-M LP5 RVP1 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V 3.30GHz |
| 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% |
1928
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (Q)
|
100% |
5347
994.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4765
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3122
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2812
3.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
9266
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (HP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (Q)
|
88% |
4830
387.2 IPS |
|
|
Face Detection (SP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4907
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
10474
124.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3591
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3592
27.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
11215
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7036
9.05 IPS |
|
|
Style Transfer (HP)
|
100% |
7090
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
26172
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6564
243.1 IPS |
|
|
Text Classification (SP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
4189
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3033
52.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2918
50.3 IPS |
