NEC PC-VKL21EZG9
Geekbench AI Score
1185
Single Precision Score
1770
Half Precision Score
1664
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | akatuki |
| Upload Date | November 25 2024 04:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | NEC PC-VKL21EZG9 |
| Motherboard | NEC V-VD211 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10110U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
1209
224.9 IPS |
|
|
Image Classification (Q)
|
100% |
1111
206.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1445
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1767
2.06 IPS |
|
|
Pose Estimation (HP)
|
99% |
1878
2.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
2518
2.95 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
99% |
1156
92.0 IPS |
|
|
Object Detection (Q)
|
88% |
1090
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
3598
42.8 IPS |
|
|
Face Detection (Q)
|
97% |
3191
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2168
16.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3730
28.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
3374
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5026
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
6869
8.83 IPS |
|
|
Style Transfer (Q)
|
98% |
6137
7.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1529
56.6 IPS |
|
|
Text Classification (SP)
|
71% |
478
691.0 IPS |
|
|
Text Classification (HP)
|
71% |
595
860.8 IPS |
|
|
Text Classification (Q)
|
92% |
438
588.9 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
97% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
836
14.5 IPS |
