Kamrui Essenx E2 Mini PC with 32GB 3200MHz DDR4 Default string Default string
Geekbench AI Score
893
Single Precision Score
941
Half Precision Score
621
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | May 25 2025 01:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
402
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (Q)
|
100% |
342
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
420
6.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
2416
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2865
3.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1797
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
98% |
392
31.2 IPS |
|
|
Object Detection (Q)
|
86% |
376
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
656
7.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
1625
12.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
1813
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1237
9.91 IPS |
|
|
Style Transfer (SP)
|
100% |
5219
6.71 IPS |
|
|
Style Transfer (HP)
|
100% |
7401
9.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3929
5.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
506
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
480
641.2 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.3 IPS |
|
|
Text Classification (Q)
|
97% |
236
315.5 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.45 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.31 IPS |
|
|
Machine Translation (Q)
|
70% |
233
4.37 IPS |
