NEC PC-VK27MCZCJ
Geekbench AI Score
343
Single Precision Score
160
Half Precision Score
471
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Puffin |
| Upload Date | January 27 2025 01:02 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-4100M |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | NEC PC-VK27MCZCJ |
| Motherboard | NEC Sakura2 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4100M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 9.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.39 IPS |
|
|
Image Classification (Q)
|
94% |
351
65.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
76
1.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
262
4.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
422
0.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
778
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
63
4.96 IPS |
|
|
Object Detection (Q)
|
58% |
245
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (HP)
|
100% |
110
1.31 IPS |
|
|
Face Detection (Q)
|
96% |
766
9.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
234
1.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
646
5.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1303
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1028
1.32 IPS |
|
|
Style Transfer (Q)
|
87% |
1609
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.5 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.3 IPS |
|
|
Text Classification (Q)
|
97% |
263
352.6 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.36 IPS |
|
|
Machine Translation (Q)
|
68% |
395
7.63 IPS |
