Mini PC Quieter 4C
Geekbench AI Score
1001
Single Precision Score
1629
Half Precision Score
2440
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | July 06 2025 04:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
681
126.6 IPS |
|
|
Image Classification (HP)
|
100% |
1147
213.3 IPS |
|
|
Image Classification (Q)
|
99% |
1764
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2138
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1397
1.63 IPS |
|
|
Pose Estimation (HP)
|
99% |
1416
1.65 IPS |
|
|
Pose Estimation (Q)
|
97% |
3958
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
99% |
940
74.6 IPS |
|
|
Object Detection (Q)
|
90% |
1710
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
1966
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
4306
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1723
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3171
24.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4413
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3732
4.80 IPS |
|
|
Style Transfer (HP)
|
100% |
5866
7.54 IPS |
|
|
Style Transfer (Q)
|
98% |
9616
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2282
84.5 IPS |
|
|
Text Classification (SP)
|
71% |
506
732.5 IPS |
|
|
Text Classification (HP)
|
71% |
639
924.0 IPS |
|
|
Text Classification (Q)
|
92% |
669
898.8 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
98% |
1056
18.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1052
18.1 IPS |
