Mini PC Quieter 4C
Geekbench AI Score
673
Single Precision Score
359
Half Precision Score
1268
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | July 06 2025 03:40 AM |
| Views | 2 |
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% |
508
94.5 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (Q)
|
99% |
977
182.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
599
0.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
1910
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
86% |
880
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (Q)
|
97% |
1849
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1086
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
501
3.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
2051
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1964
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1428
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
3650
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
880
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.1 IPS |
|
|
Text Classification (HP)
|
100% |
247
330.3 IPS |
|
|
Text Classification (Q)
|
97% |
539
721.6 IPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (Q)
|
65% |
839
16.9 IPS |
