Mini PC Quieter 4C
Geekbench AI Score
519
Single Precision Score
514
Half Precision Score
356
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | August 02 2025 09:57 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| 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 | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
99% |
261
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
311
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
447
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
85% |
230
18.5 IPS |
|
|
Face Detection (SP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
97% |
588
7.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
589
4.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
579
4.46 IPS |
|
|
Depth Estimation (Q)
|
63% |
424
3.97 IPS |
|
|
Style Transfer (SP)
|
100% |
913
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
910
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
1092
1.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
277
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
594
793.2 IPS |
|
|
Text Classification (HP)
|
100% |
600
800.9 IPS |
|
|
Text Classification (Q)
|
92% |
261
350.4 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
58% |
204
4.80 IPS |
