Mini PC Quieter 4C
Geekbench AI Score
467
Single Precision Score
466
Half Precision Score
1097
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | October 13 2025 07:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) 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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.8 IPS |
|
|
Image Classification (Q)
|
100% |
631
117.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
811
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
1259
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.2 IPS |
|
|
Object Detection (Q)
|
88% |
719
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.37 IPS |
|
|
Face Detection (HP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (Q)
|
100% |
1804
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
576
4.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
584
4.50 IPS |
|
|
Depth Estimation (Q)
|
89% |
1692
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1232
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1242
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4034
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
960
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.7 IPS |
|
|
Text Classification (HP)
|
100% |
513
684.9 IPS |
|
|
Text Classification (Q)
|
92% |
942
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
100% |
491
8.45 IPS |
