GMKtec NucBox G3
Geekbench AI Score
644
Single Precision Score
644
Half Precision Score
430
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | molendinar |
| Upload Date | March 08 2025 12:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
611
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
85% |
288
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
836
9.94 IPS |
|
|
Face Detection (HP)
|
100% |
831
9.88 IPS |
|
|
Face Detection (Q)
|
97% |
718
8.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
796
6.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
789
6.08 IPS |
|
|
Depth Estimation (Q)
|
63% |
550
5.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1191
1.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1190
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1443
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
358
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.8 IPS |
|
|
Text Classification (HP)
|
100% |
617
823.3 IPS |
|
|
Text Classification (Q)
|
92% |
266
357.8 IPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
58% |
249
5.84 IPS |
