NEC PC-VKT40CZG9
Geekbench AI Score
17
Single Precision Score
16
Half Precision Score
13
Quantized Score
Geekbench AI 1.6.0 for Linux x86 (64-bit)
Result Information
| User | hisyho |
| Upload Date | January 30 2026 06:37 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1130G7 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.3 |
| 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 | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12
2.27 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.75 IPS |
|
|
Image Classification (Q)
|
97% |
8
1.54 IPS |
|
|
Image Segmentation (SP)
|
100% |
13
0.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
13
0.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
11
0.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
16
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
14
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
9
0.74 IPS |
|
|
Object Detection (HP)
|
100% |
9
0.74 IPS |
|
|
Object Detection (Q)
|
87% |
8
0.65 IPS |
|
|
Face Detection (SP)
|
100% |
31
0.36 IPS |
|
|
Face Detection (HP)
|
100% |
31
0.36 IPS |
|
|
Face Detection (Q)
|
97% |
26
0.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
23
0.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
23
0.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
17
0.15 IPS |
|
|
Style Transfer (SP)
|
100% |
48
0.06 IPS |
|
|
Style Transfer (HP)
|
100% |
48
0.06 IPS |
|
|
Style Transfer (Q)
|
98% |
42
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10
0.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10
0.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
9
0.33 IPS |
|
|
Text Classification (SP)
|
100% |
13
17.4 IPS |
|
|
Text Classification (HP)
|
100% |
13
17.5 IPS |
|
|
Text Classification (Q)
|
91% |
11
14.4 IPS |
|
|
Machine Translation (SP)
|
100% |
24
0.41 IPS |
|
|
Machine Translation (HP)
|
100% |
24
0.42 IPS |
|
|
Machine Translation (Q)
|
58% |
14
0.34 IPS |
