Mini PC Quieter 4C
Geekbench AI Score
634
Single Precision Score
347
Half Precision Score
1260
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 03:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Mini PC Quieter 4C |
| Motherboard | Mini PC Rev ADLN62-315 1.10 |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
99% |
801
149.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
999
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
1824
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
86% |
858
69.0 IPS |
|
|
Face Detection (SP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
460
5.47 IPS |
|
|
Face Detection (Q)
|
97% |
1827
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1082
8.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
2163
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1768
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1389
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3825
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
341
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
945
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
484
646.6 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.6 IPS |
|
|
Text Classification (Q)
|
97% |
667
893.6 IPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
65% |
852
17.1 IPS |
