NEC PC-VKT40CZG9
Geekbench AI Score
2059
Single Precision Score
2746
Half Precision Score
4388
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | January 27 2026 11:24 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | NEC PC-VKT40CZG9 |
| Motherboard | NEC V-VC211 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1130G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1079
200.7 IPS |
|
|
Image Classification (HP)
|
100% |
1639
304.9 IPS |
|
|
Image Classification (Q)
|
99% |
1667
310.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3233
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5290
85.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
3180
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
16239
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1182
93.7 IPS |
|
|
Object Detection (HP)
|
100% |
1741
138.1 IPS |
|
|
Object Detection (Q)
|
90% |
2576
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
5237
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
8865
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4460
34.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7477
57.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
9996
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12432
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15793
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33202
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
182.1 IPS |
|
|
Text Classification (SP)
|
71% |
451
652.5 IPS |
|
|
Text Classification (HP)
|
71% |
517
747.4 IPS |
|
|
Text Classification (Q)
|
92% |
500
672.1 IPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1004
17.4 IPS |
|
|
Machine Translation (Q)
|
100% |
993
17.1 IPS |
