NEC PC-VK27MCZCJ
Geekbench AI Score
221
Single Precision Score
226
Half Precision Score
146
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Puffin |
| Upload Date | January 27 2025 03:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
157
29.1 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
111
20.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
98
1.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
271
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
85% |
83
6.65 IPS |
|
|
Face Detection (SP)
|
100% |
272
3.23 IPS |
|
|
Face Detection (HP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (Q)
|
97% |
185
2.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
281
2.17 IPS |
|
|
Depth Estimation (Q)
|
63% |
184
1.73 IPS |
|
|
Style Transfer (SP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
449
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
496
0.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
157
5.80 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.2 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.1 IPS |
|
|
Text Classification (Q)
|
92% |
91
122.6 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
58% |
78
1.82 IPS |
