Kamrui E2 MiniPC Default string Default string
Geekbench AI Score
577
Single Precision Score
579
Half Precision Score
410
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | tron33 |
| Upload Date | July 14 2025 08:48 PM |
| Views | 3 |
| Notes | Upgraded to 16gb ddr4 3200 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
266
49.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
323
5.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
657
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
657
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
583
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.7 IPS |
|
|
Object Detection (Q)
|
85% |
270
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
763
9.06 IPS |
|
|
Face Detection (HP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (Q)
|
97% |
667
7.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
727
5.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
727
5.60 IPS |
|
|
Depth Estimation (Q)
|
63% |
522
4.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1151
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1155
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1368
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
386
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
338
12.5 IPS |
|
|
Text Classification (SP)
|
100% |
543
725.2 IPS |
|
|
Text Classification (HP)
|
100% |
546
729.4 IPS |
|
|
Text Classification (Q)
|
92% |
254
340.7 IPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
58% |
246
5.77 IPS |
