NEC PC-S1375LAS
Geekbench AI Score
11044
Single Precision Score
26963
Half Precision Score
31747
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 03:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | NEC PC-S1375LAS |
| Motherboard | NEC L-SL254 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
6735
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
13618
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
17719
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9788
158.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25612
415.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30141
488.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24748
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
130821
152.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
254919
298.4 IPS |
|
|
Object Detection (SP)
|
100% |
6507
516.1 IPS |
|
|
Object Detection (HP)
|
100% |
14234
1.13 KIPS |
|
|
Object Detection (Q)
|
88% |
15545
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
14455
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
33395
396.8 IPS |
|
|
Face Detection (Q)
|
100% |
43743
519.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23792
183.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55645
428.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
67665
526.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54288
69.8 IPS |
|
|
Style Transfer (HP)
|
100% |
150808
193.9 IPS |
|
|
Style Transfer (Q)
|
98% |
183580
236.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9813
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26643
983.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32108
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4072
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
92% |
3750
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7491
129.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7512
129.4 IPS |
