NEC PC-VKT40CZG9
Geekbench AI Score
1487
Single Precision Score
1591
Half Precision Score
965
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | January 27 2026 11:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
671
124.9 IPS |
|
|
Image Classification (HP)
|
100% |
721
134.1 IPS |
|
|
Image Classification (Q)
|
100% |
585
108.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5728
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
6710
7.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
3038
3.56 IPS |
|
|
Object Detection (SP)
|
100% |
786
62.4 IPS |
|
|
Object Detection (HP)
|
98% |
725
57.7 IPS |
|
|
Object Detection (Q)
|
86% |
638
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1132
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3275
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3596
27.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2212
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12906
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16699
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8104
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
833
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.2 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.7 IPS |
|
|
Text Classification (Q)
|
97% |
211
282.4 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
70% |
249
4.67 IPS |
