GMKtec NucBoxG3 Plus
Geekbench AI Score
600
Single Precision Score
599
Half Precision Score
402
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 05 2025 06:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | GMKtec NucBoxG3 Plus |
| Motherboard | GMKtec GMKtec |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
377
70.0 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
251
46.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
307
4.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
592
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
85% |
265
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (Q)
|
97% |
666
7.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
745
5.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
743
5.72 IPS |
|
|
Depth Estimation (Q)
|
63% |
526
4.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1178
1.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1184
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1394
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
334
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
556
742.0 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.9 IPS |
|
|
Text Classification (Q)
|
92% |
236
316.6 IPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
58% |
237
5.57 IPS |
