GMKtec NucBoxG5
Geekbench AI Score
730
Single Precision Score
756
Half Precision Score
1613
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tellumo |
| Upload Date | February 02 2025 07:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N97 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBoxG5 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel N97 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
100% |
1014
188.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
548
8.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
1095
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2094
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
88% |
974
78.0 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (Q)
|
100% |
2626
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
930
7.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
1099
8.47 IPS |
|
|
Depth Estimation (Q)
|
89% |
2726
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2224
2.86 IPS |
|
|
Style Transfer (HP)
|
100% |
2282
2.93 IPS |
|
|
Style Transfer (Q)
|
98% |
5961
7.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1272
47.1 IPS |
|
|
Text Classification (SP)
|
100% |
586
781.8 IPS |
|
|
Text Classification (HP)
|
100% |
581
775.1 IPS |
|
|
Text Classification (Q)
|
92% |
1158
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
100% |
842
14.5 IPS |
