GMKtec NucBoxG5
Geekbench AI Score
1056
Single Precision Score
1113
Half Precision Score
747
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tellumo |
| Upload Date | February 02 2025 06:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
476
88.5 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
100% |
408
75.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
508
8.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3477
4.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
2177
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
98% |
461
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
447
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
808
9.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1973
15.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2154
16.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1505
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6315
8.12 IPS |
|
|
Style Transfer (HP)
|
100% |
8815
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4819
6.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.5 IPS |
|
|
Text Classification (HP)
|
100% |
352
469.4 IPS |
|
|
Text Classification (Q)
|
97% |
293
392.4 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.86 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
70% |
258
4.83 IPS |
