Mini PC Quieter 4C
Geekbench AI Score
522
Single Precision Score
517
Half Precision Score
353
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | August 02 2025 09:45 AM |
| Views | 5 |
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% |
372
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
99% |
263
49.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
304
4.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
451
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (Q)
|
85% |
235
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
97% |
596
7.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
592
4.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
578
4.45 IPS |
|
|
Depth Estimation (Q)
|
63% |
427
4.00 IPS |
|
|
Style Transfer (SP)
|
100% |
925
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
929
1.19 IPS |
|
|
Style Transfer (Q)
|
98% |
1088
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
247
9.15 IPS |
|
|
Text Classification (SP)
|
100% |
587
784.1 IPS |
|
|
Text Classification (HP)
|
100% |
573
764.2 IPS |
|
|
Text Classification (Q)
|
92% |
261
350.4 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
58% |
204
4.79 IPS |
