NEC PC-S1375LAS
Geekbench AI Score
2593
Single Precision Score
26117
Half Precision Score
39961
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 03:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1605
298.5 IPS |
|
|
Image Classification (HP)
|
100% |
13883
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
18931
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19516
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32717
530.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
110505
128.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
228746
268.0 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (HP)
|
100% |
17369
1.38 KIPS |
|
|
Object Detection (Q)
|
87% |
24880
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4337
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
40051
475.9 IPS |
|
|
Face Detection (Q)
|
100% |
79811
948.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3863
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73481
566.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
134102
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
8266
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207633
266.9 IPS |
|
|
Style Transfer (Q)
|
98% |
330097
425.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36406
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65233
2.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2883
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4434
76.4 IPS |
