GMKtec NucBox G3
Geekbench AI Score
851
Single Precision Score
462
Half Precision Score
1471
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | DanoLuvoe |
| Upload Date | January 02 2026 04:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox G3 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.2 IPS |
|
|
Image Classification (Q)
|
99% |
1023
190.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
864
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
2352
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
86% |
1012
81.4 IPS |
|
|
Face Detection (SP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.29 IPS |
|
|
Face Detection (Q)
|
97% |
2161
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1499
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
2480
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2781
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
2087
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
3877
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1078
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.4 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.2 IPS |
|
|
Text Classification (Q)
|
97% |
660
884.4 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (Q)
|
65% |
1022
20.5 IPS |
