PCSpecialist Lafite Pro II 16 (DirectML) PCSpecialist Lafite Pro II 16
Geekbench AI Score
7239
Single Precision Score
11151
Half Precision Score
5034
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chris-C |
| Upload Date | October 24 2025 09:29 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% |
4802
893.1 IPS |
|
|
Image Classification (HP)
|
100% |
5789
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
3617
674.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5318
86.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9478
153.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3681
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19522
22.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
38001
44.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16050
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
5402
428.5 IPS |
|
|
Object Detection (HP)
|
100% |
7145
566.8 IPS |
|
|
Object Detection (Q)
|
84% |
3762
303.7 IPS |
|
|
Face Detection (SP)
|
100% |
7143
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
12186
144.8 IPS |
|
|
Face Detection (Q)
|
97% |
5061
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16755
129.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30233
232.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12801
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50041
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
81605
104.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38229
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8684
320.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16357
604.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5552
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (Q)
|
97% |
950
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2691
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
996
18.7 IPS |
