NEC PC-S1375LAS
Geekbench AI Score
3147
Single Precision Score
1422
Half Precision Score
6433
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 01:33 AM |
| Views | 4 |
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-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% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.5 IPS |
|
|
Image Classification (Q)
|
99% |
5043
940.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7150
116.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4669
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
16894
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (Q)
|
86% |
4755
382.2 IPS |
|
|
Face Detection (SP)
|
100% |
6546
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
8299
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6219
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1974
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13022
103.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11789
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8907
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20999
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2230
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1583
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5130
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
696
929.2 IPS |
|
|
Text Classification (Q)
|
97% |
1395
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2583
51.9 IPS |
