NEC PC-S1375LAP
Geekbench AI Score
7728
Single Precision Score
13996
Half Precision Score
5177
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cloudit0 |
| Upload Date | November 08 2025 09:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
3760
699.3 IPS |
|
|
Image Classification (HP)
|
100% |
4747
882.9 IPS |
|
|
Image Classification (Q)
|
100% |
2991
556.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6939
112.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13968
226.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4873
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20799
24.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89119
104.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17147
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
5311
421.3 IPS |
|
|
Object Detection (HP)
|
100% |
6417
509.0 IPS |
|
|
Object Detection (Q)
|
88% |
4091
328.1 IPS |
|
|
Face Detection (SP)
|
100% |
9945
118.2 IPS |
|
|
Face Detection (HP)
|
100% |
18227
216.6 IPS |
|
|
Face Detection (Q)
|
97% |
6675
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19956
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40683
313.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12739
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50427
64.8 IPS |
|
|
Style Transfer (HP)
|
100% |
176375
226.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36683
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8932
329.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16331
603.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5298
196.2 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (Q)
|
97% |
676
905.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2862
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2656
45.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1211
22.7 IPS |
