PCSpecialist Lafite Pro II 16 (ONMX DirectML GPU) PCSpecialist Lafite Pro II 16
Geekbench AI Score
7154
Single Precision Score
11001
Half Precision Score
4935
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chris-C |
| Upload Date | October 24 2025 09:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| 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% |
4758
884.8 IPS |
|
|
Image Classification (HP)
|
100% |
5525
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
3723
694.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5450
88.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9454
153.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3436
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19513
22.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
38096
44.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15897
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
5261
417.3 IPS |
|
|
Object Detection (HP)
|
100% |
6903
547.5 IPS |
|
|
Object Detection (Q)
|
84% |
3618
292.1 IPS |
|
|
Face Detection (SP)
|
100% |
6901
82.0 IPS |
|
|
Face Detection (HP)
|
100% |
12132
144.2 IPS |
|
|
Face Detection (Q)
|
97% |
4906
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16732
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
29192
224.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12559
100.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50034
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
82613
106.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37419
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8892
328.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16312
602.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5578
206.5 IPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (Q)
|
97% |
913
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (Q)
|
70% |
993
18.6 IPS |
