NEC PC-VKT40CZG9
Geekbench AI Score
1696
Single Precision Score
1648
Half Precision Score
4400
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | January 27 2026 11:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1130G7 @ 1.10GHz |
| 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% |
1045
194.3 IPS |
|
|
Image Classification (HP)
|
100% |
1031
191.7 IPS |
|
|
Image Classification (Q)
|
100% |
2986
555.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3040
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1456
1.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
6911
8.10 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (Q)
|
88% |
2947
236.2 IPS |
|
|
Face Detection (SP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (Q)
|
100% |
7338
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2456
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2572
19.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
7694
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5086
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
5160
6.63 IPS |
|
|
Style Transfer (Q)
|
98% |
18401
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3746
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
1146
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1134
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
2209
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1753
30.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1712
29.5 IPS |
