GMKtec NucBoxG9
Geekbench AI Score
601
Single Precision Score
612
Half Precision Score
430
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 19 2025 07:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | GMKtec NucBoxG9 |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
275
51.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
632
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
649
0.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
611
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
85% |
286
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
719
8.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
724
5.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
747
5.76 IPS |
|
|
Depth Estimation (Q)
|
63% |
549
5.15 IPS |
|
|
Style Transfer (SP)
|
100% |
1256
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1264
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1454
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
362
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
612
816.3 IPS |
|
|
Text Classification (HP)
|
100% |
614
819.4 IPS |
|
|
Text Classification (Q)
|
92% |
266
356.9 IPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
58% |
253
5.95 IPS |
