NEC PC-S1375LAP
Geekbench AI Score
3067
Single Precision Score
1326
Half Precision Score
6081
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | November 08 2025 08:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2405
447.3 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (Q)
|
99% |
4826
900.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6967
113.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4673
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3076
3.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
16645
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2156
171.0 IPS |
|
|
Object Detection (HP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (Q)
|
86% |
4593
369.1 IPS |
|
|
Face Detection (SP)
|
100% |
6247
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8118
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6046
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1915
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11784
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11498
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8097
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20100
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4490
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
674
899.8 IPS |
|
|
Text Classification (Q)
|
97% |
1294
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2411
48.5 IPS |
