GMKtec NucBoxG9 20/25 GMKtec NucBoxG9
Geekbench AI Score
682
Single Precision Score
682
Half Precision Score
433
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 03 2025 07:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
439
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
276
51.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
333
5.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
613
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
85% |
289
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
930
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
724
8.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
854
6.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
855
6.59 IPS |
|
|
Depth Estimation (Q)
|
63% |
553
5.18 IPS |
|
|
Style Transfer (SP)
|
100% |
1336
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1338
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1460
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
358
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
619
825.5 IPS |
|
|
Text Classification (HP)
|
100% |
618
825.1 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.6 IPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
58% |
257
6.04 IPS |
