NEC PC-S1375LAP
Geekbench AI Score
3077
Single Precision Score
23895
Half Precision Score
35331
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | November 08 2025 09:10 AM |
| Views | 2 |
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% |
1817
337.9 IPS |
|
|
Image Classification (HP)
|
100% |
11006
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
17005
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18699
303.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30826
499.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
107527
125.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
215565
252.5 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
14942
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
21305
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
5179
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
37665
447.5 IPS |
|
|
Face Detection (Q)
|
100% |
73214
869.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4709
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68517
527.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
120562
938.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9842
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204385
262.7 IPS |
|
|
Style Transfer (Q)
|
98% |
316839
408.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33115
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52940
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2663
3.56 KIPS |
|
|
Text Classification (Q)
|
92% |
2211
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3846
66.3 IPS |
