Kamrui Essenx E2 Mini PC with 32GB 3200MHz DDR4 Default string Default string
Geekbench AI Score
1338
Single Precision Score
2044
Half Precision Score
2941
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | May 25 2025 01:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
846
157.3 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
99% |
1896
353.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2412
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2115
2.47 IPS |
|
|
Pose Estimation (HP)
|
99% |
1789
2.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
6115
7.16 IPS |
|
|
Object Detection (SP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (HP)
|
99% |
1330
105.5 IPS |
|
|
Object Detection (Q)
|
90% |
2066
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
5009
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2592
20.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4609
35.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
5911
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5895
7.58 IPS |
|
|
Style Transfer (HP)
|
100% |
9072
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15049
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3029
112.2 IPS |
|
|
Text Classification (SP)
|
71% |
585
846.1 IPS |
|
|
Text Classification (HP)
|
71% |
715
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
720
967.0 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
98% |
861
14.9 IPS |
|
|
Machine Translation (Q)
|
100% |
864
14.9 IPS |
