Intel Corporation Lunar Lake Client Platform
Geekbench ML Score
2832
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 22 2024 07:42 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel Corporation Lunar Lake Client Platform |
| Motherboard | Intel Corporation LNL-M LP5 RVP1 |
| Power Plan | CVETesting |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 228V 2.10GHz |
| 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 |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1367
255.8 IPS |
|
|
Image Classification (F16)
|
100% |
1386
259.4 IPS |
|
|
Image Classification (I8)
|
99% |
2771
518.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1216
20.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2063
34.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3724
4.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
3589
4.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
12253
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
1534
114.5 IPS |
|
|
Object Detection (F16)
|
100% |
1577
117.8 IPS |
|
|
Object Detection (I8)
|
62% |
1533
114.4 IPS |
|
|
Face Detection (F32)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (F16)
|
100% |
3453
41.1 IPS |
|
|
Face Detection (I8)
|
89% |
3999
47.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5181
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5382
41.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
12334
95.7 IPS |
|
|
Style Transfer (F32)
|
100% |
9488
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8596
11.3 IPS |
|
|
Style Transfer (I8)
|
98% |
20654
27.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2365
84.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2335
83.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4424
158.0 IPS |
|
|
Text Classification (F32)
|
100% |
1219
1.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1222
1.76 KIPS |
|
|
Text Classification (I8)
|
98% |
446
641.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1806
33.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1780
32.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2337
43.0 IPS |
