PCSpecialist Lafite Pro II 16
Geekbench AI Score
4269
Single Precision Score
1707
Half Precision Score
7742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chris-C |
| Upload Date | October 24 2025 09:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| 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% |
3349
622.8 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.1 IPS |
|
|
Image Classification (Q)
|
99% |
7193
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9694
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7176
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4963
5.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
24336
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3015
239.1 IPS |
|
|
Object Detection (HP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (Q)
|
86% |
7715
620.0 IPS |
|
|
Face Detection (SP)
|
100% |
8869
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
8995
107.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8779
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2399
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16082
128.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17084
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11517
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21346
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3112
114.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2121
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1354
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2855
57.4 IPS |
