NEC PC-S1375LAP
Geekbench AI Score
8973
Single Precision Score
22691
Half Precision Score
25309
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | November 08 2025 09:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
5579
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
12119
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
14528
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8553
138.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21035
341.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24212
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18252
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
102127
119.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
192722
225.6 IPS |
|
|
Object Detection (SP)
|
100% |
5293
419.9 IPS |
|
|
Object Detection (HP)
|
100% |
13101
1.04 KIPS |
|
|
Object Detection (Q)
|
88% |
13764
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
13112
155.8 IPS |
|
|
Face Detection (HP)
|
100% |
29197
346.9 IPS |
|
|
Face Detection (Q)
|
100% |
35301
419.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19015
146.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46559
358.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
54170
421.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40092
51.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116063
149.2 IPS |
|
|
Style Transfer (Q)
|
98% |
127668
164.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7553
278.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23380
863.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26699
988.8 IPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4594
6.13 KIPS |
|
|
Text Classification (Q)
|
92% |
2763
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2905
50.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6261
108.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6418
110.5 IPS |
