NEC PC-S1375LAP
Geekbench AI Score
3120
Single Precision Score
2176
Half Precision Score
8140
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | November 08 2025 09:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1883
350.3 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.8 IPS |
|
|
Image Classification (Q)
|
100% |
5095
947.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1095
17.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4919
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3278
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2176
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
12093
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (Q)
|
88% |
5491
440.2 IPS |
|
|
Face Detection (SP)
|
100% |
5516
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
13762
163.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4759
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3294
25.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13971
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9775
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6529
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
36226
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7516
278.4 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
4409
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2854
49.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3328
57.3 IPS |
