GMKtec NucBoxG5
Geekbench AI Score
926
Single Precision Score
932
Half Precision Score
1906
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | szaki |
| Upload Date | October 25 2025 10:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N97 |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel N97 |
| 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 | 11.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
565
105.2 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (Q)
|
100% |
1169
217.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1232
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
970
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
2554
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
88% |
1172
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
100% |
2983
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1302
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1307
10.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
3106
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2768
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
2802
3.60 IPS |
|
|
Style Transfer (Q)
|
98% |
7290
9.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1512
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
673
897.7 IPS |
|
|
Text Classification (HP)
|
100% |
674
899.0 IPS |
|
|
Text Classification (Q)
|
92% |
1245
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1156
19.9 IPS |
