Kamrui Essenx E2 Mini PC with 32GB 3200MHz DDR4 Default string Default string
Geekbench AI Score
931
Single Precision Score
932
Half Precision Score
1805
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | May 25 2025 01:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
100% |
1104
205.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
1155
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1051
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1050
1.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2468
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
88% |
1099
88.1 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (Q)
|
100% |
2836
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1385
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1381
10.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
2991
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2891
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2985
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
7016
9.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
638
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1455
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.4 IPS |
|
|
Text Classification (HP)
|
100% |
672
897.1 IPS |
|
|
Text Classification (Q)
|
92% |
1099
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1121
19.3 IPS |
