GMKtec NucBoxG3 Plus
Geekbench AI Score
598
Single Precision Score
598
Half Precision Score
409
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | September 21 2025 03:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| 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 | 14.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
327
5.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
706
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
601
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
85% |
279
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
97% |
698
8.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
752
5.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
752
5.79 IPS |
|
|
Depth Estimation (Q)
|
63% |
537
5.04 IPS |
|
|
Style Transfer (SP)
|
100% |
1131
1.45 IPS |
|
|
Style Transfer (HP)
|
100% |
1105
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1370
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
386
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
330
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.7 IPS |
|
|
Text Classification (HP)
|
100% |
533
711.5 IPS |
|
|
Text Classification (Q)
|
92% |
228
306.5 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
58% |
231
5.43 IPS |
