NEC PC-S1375LAP
Geekbench AI Score
3190
Single Precision Score
23180
Half Precision Score
32978
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | November 08 2025 09:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | NEC PC-S1375LAP |
| Motherboard | NEC L-SL254 |
| 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% |
1890
351.6 IPS |
|
|
Image Classification (HP)
|
100% |
10993
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
16714
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17499
283.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26625
431.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3404
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
106392
124.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
214719
251.5 IPS |
|
|
Object Detection (SP)
|
100% |
1864
147.8 IPS |
|
|
Object Detection (HP)
|
100% |
15226
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
20683
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
5709
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
33052
392.7 IPS |
|
|
Face Detection (Q)
|
100% |
63939
759.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4737
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
68765
529.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
118784
924.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10170
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
187618
241.2 IPS |
|
|
Style Transfer (Q)
|
98% |
285728
368.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2151
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32830
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50003
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1860
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3815
65.7 IPS |
