Intel Corporation Lunar Lake Client Platform
Geekbench AI Score
2450
Single Precision Score
17953
Half Precision Score
24819
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 12 2024 07:57 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Intel Corporation Lunar Lake Client Platform |
| Motherboard | Intel Corporation LNL-M LP5 RVP1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 228V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
11811
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
17105
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5002
81.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5307
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2890
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
72215
84.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
167225
195.9 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
100% |
13321
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
18024
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
4397
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
26382
313.5 IPS |
|
|
Face Detection (Q)
|
100% |
40508
481.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3936
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61398
473.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
100368
781.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8545
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
188948
242.9 IPS |
|
|
Style Transfer (Q)
|
98% |
277359
357.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28274
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45183
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2436
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2622
45.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2612
45.0 IPS |
