NEC PC-MRT29LZ61CZY
Geekbench AI Score
3365
Single Precision Score
3372
Half Precision Score
4933
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | July 12 2025 11:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz |
| 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% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
2124
395.1 IPS |
|
|
Image Classification (Q)
|
100% |
3251
604.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3749
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4449
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
8790
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (Q)
|
87% |
3452
276.8 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (Q)
|
97% |
8896
106.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5318
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5556
42.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
8937
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12679
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12648
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24325
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2550
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2501
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5154
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
91% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2758
47.5 IPS |
