PCSpecialist L2x0LUx
Geekbench AI Score
6780
Single Precision Score
13081
Half Precision Score
4687
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 03:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | PCSpecialist L2x0LUx |
| Motherboard | CLEVO L2x0LUx |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3138
583.6 IPS |
|
|
Image Classification (HP)
|
100% |
4349
808.7 IPS |
|
|
Image Classification (Q)
|
100% |
2487
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6522
105.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11116
180.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4124
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15254
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
86466
100.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14922
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
4508
357.6 IPS |
|
|
Object Detection (HP)
|
100% |
7547
598.7 IPS |
|
|
Object Detection (Q)
|
88% |
3667
294.1 IPS |
|
|
Face Detection (SP)
|
100% |
9299
110.5 IPS |
|
|
Face Detection (HP)
|
100% |
16366
194.5 IPS |
|
|
Face Detection (Q)
|
97% |
6109
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18216
140.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39109
301.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12326
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
45217
58.1 IPS |
|
|
Style Transfer (HP)
|
100% |
164062
210.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35117
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7469
275.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13176
486.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4701
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
633
847.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2579
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1161
21.8 IPS |
