GMKtec NucBoxG9 10/15 GMKtec NucBoxG9
Geekbench AI Score
606
Single Precision Score
605
Half Precision Score
401
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | April 03 2025 06:23 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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
99% |
263
49.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
330
5.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
537
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
85% |
267
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
837
9.95 IPS |
|
|
Face Detection (HP)
|
100% |
835
9.92 IPS |
|
|
Face Detection (Q)
|
97% |
658
7.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
717
5.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
715
5.51 IPS |
|
|
Depth Estimation (Q)
|
63% |
497
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1163
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1167
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1291
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
325
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.5 IPS |
|
|
Text Classification (HP)
|
100% |
616
822.5 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.5 IPS |
|
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
58% |
237
5.56 IPS |
