Mini PC Quieter 4C
Geekbench AI Score
444
Single Precision Score
223
Half Precision Score
805
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | October 13 2025 07:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Mini PC Quieter 4C |
| Motherboard | Mini PC Rev ADLN62 1.10 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| 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% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (Q)
|
99% |
738
137.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
439
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
1203
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.49 IPS |
|
|
Object Detection (Q)
|
86% |
560
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (Q)
|
97% |
1484
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
314
2.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
1572
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1156
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
897
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2121
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
194
7.16 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
800
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.6 IPS |
|
|
Text Classification (HP)
|
100% |
242
323.6 IPS |
|
|
Text Classification (Q)
|
97% |
160
214.4 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.57 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.82 IPS |
|
|
Machine Translation (Q)
|
65% |
542
10.9 IPS |
