NEC PC-MRT29LZ61CZY
Geekbench AI Score
1357
Single Precision Score
2070
Half Precision Score
1951
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | July 12 2025 11:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | NEC PC-MRT29LZ61CZY |
| Motherboard | NEC 317D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
850
158.1 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (Q)
|
100% |
1222
227.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1680
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1947
2.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
2071
2.42 IPS |
|
|
Pose Estimation (Q)
|
97% |
2783
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
805
63.9 IPS |
|
|
Object Detection (HP)
|
99% |
1327
105.6 IPS |
|
|
Object Detection (Q)
|
88% |
1243
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (Q)
|
97% |
3679
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2430
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4149
32.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
3774
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5499
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
7581
9.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6906
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1713
63.4 IPS |
|
|
Text Classification (SP)
|
71% |
618
893.9 IPS |
|
|
Text Classification (HP)
|
71% |
725
1.05 KIPS |
|
|
Text Classification (Q)
|
92% |
554
744.5 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1244
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1239
21.4 IPS |
