PCSpecialist Lafite Pro II 16 (OpenVINO NPU) PCSpecialist Lafite Pro II 16
Geekbench AI Score
4959
Single Precision Score
9689
Half Precision Score
14902
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chris-C |
| Upload Date | October 24 2025 09:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PCSpecialist Lafite Pro II 16 |
| Motherboard | CLEVO V54x_6x_TU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2858
531.5 IPS |
|
|
Image Classification (HP)
|
100% |
6927
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9710
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3986
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
34079
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74149
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
6145
487.4 IPS |
|
|
Object Detection (Q)
|
87% |
10047
806.3 IPS |
|
|
Face Detection (SP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (HP)
|
100% |
15754
187.2 IPS |
|
|
Face Detection (Q)
|
100% |
27871
331.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7320
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17835
137.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
33322
259.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17944
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50038
64.3 IPS |
|
|
Style Transfer (Q)
|
98% |
92854
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3917
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14196
524.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25601
948.1 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2063
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3050
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4182
72.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4178
72.0 IPS |
