NEC PC-S1375LAP
Geekbench AI Score
3147
Single Precision Score
23022
Half Precision Score
33526
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | November 08 2025 09:12 AM |
| Views | 5 |
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% |
1825
339.3 IPS |
|
|
Image Classification (HP)
|
100% |
10702
1.99 KIPS |
|
|
Image Classification (Q)
|
100% |
16741
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19133
310.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30260
490.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106015
123.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
214708
251.5 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (HP)
|
100% |
15134
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
20676
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
5632
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
32564
386.9 IPS |
|
|
Face Detection (Q)
|
100% |
61365
729.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4752
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
68524
527.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
118495
922.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10276
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
185783
238.8 IPS |
|
|
Style Transfer (Q)
|
98% |
289271
373.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2149
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32628
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52074
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
1900
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3852
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3834
66.0 IPS |
