NEC PC-MRT29LZ61CZY
Geekbench AI Score
2480
Single Precision Score
1179
Half Precision Score
3648
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | July 12 2025 11:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| 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% |
1634
303.8 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
96% |
3027
565.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
3619
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3835
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
7637
9.03 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
58% |
2060
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
5236
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5334
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1653
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6842
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10105
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7959
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11167
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3110
115.3 IPS |
|
|
Text Classification (SP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.5 IPS |
|
|
Text Classification (Q)
|
97% |
1055
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1849
35.7 IPS |
