NEC PC-VKT40CZG9
Geekbench AI Score
798
Single Precision Score
806
Half Precision Score
443
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | hisyho |
| Upload Date | January 30 2026 01:41 PM |
| Views | 6 |
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% |
651
121.1 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.5 IPS |
|
|
Image Classification (Q)
|
99% |
288
53.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
407
6.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
1069
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
729
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
604
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
85% |
295
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
730
8.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1019
7.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
964
7.43 IPS |
|
|
Depth Estimation (Q)
|
63% |
558
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1378
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1407
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1446
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
344
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
483
645.0 IPS |
|
|
Text Classification (HP)
|
100% |
684
912.6 IPS |
|
|
Text Classification (Q)
|
92% |
319
428.4 IPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
58% |
219
5.15 IPS |
