GMKtec NucBox G3
Geekbench AI Score
642
Single Precision Score
641
Half Precision Score
431
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | cvgb |
| Upload Date | October 10 2025 05:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | GMKtec NucBox G3 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
99% |
280
52.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
330
5.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
685
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
610
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
85% |
289
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
840
9.99 IPS |
|
|
Face Detection (Q)
|
97% |
721
8.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
794
6.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
782
6.02 IPS |
|
|
Depth Estimation (Q)
|
63% |
550
5.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1170
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1175
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1436
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
440
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
360
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
615
821.5 IPS |
|
|
Text Classification (HP)
|
100% |
618
824.4 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.2 IPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
58% |
253
5.94 IPS |
