Intel Corporation Lunar Lake Client Platform
Geekbench AI Score
10107
Single Precision Score
25261
Half Precision Score
27217
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 03:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
6695
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
14067
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
16447
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9827
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22433
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29962
485.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23286
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
130893
152.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
201282
235.7 IPS |
|
|
Object Detection (SP)
|
100% |
5375
426.4 IPS |
|
|
Object Detection (HP)
|
100% |
12866
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
13704
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
12159
144.5 IPS |
|
|
Face Detection (HP)
|
100% |
28334
336.7 IPS |
|
|
Face Detection (Q)
|
100% |
34915
414.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23080
177.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56291
433.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
65163
506.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51534
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
145547
187.1 IPS |
|
|
Style Transfer (Q)
|
98% |
136967
176.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8764
323.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28015
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27217
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4503
6.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2815
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6799
117.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6873
118.4 IPS |
