GMKtec NucBox K13
Geekbench AI Score
2767
Single Precision Score
2065
Half Precision Score
7411
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 01 2026 03:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K13 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (Q)
|
100% |
4747
882.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4662
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2117
2.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
11385
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1613
128.0 IPS |
|
|
Object Detection (HP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (Q)
|
88% |
4963
397.8 IPS |
|
|
Face Detection (SP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
11711
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4036
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3025
23.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
12492
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8751
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6120
7.87 IPS |
|
|
Style Transfer (Q)
|
98% |
32101
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6662
246.7 IPS |
|
|
Text Classification (SP)
|
100% |
1967
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3049
52.5 IPS |
