GMKtec NucBox K13
Geekbench AI Score
9983
Single Precision Score
27028
Half Precision Score
35180
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 01 2026 03:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| 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% |
4489
834.8 IPS |
|
|
Image Classification (HP)
|
100% |
11141
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
19035
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8718
141.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23253
376.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30499
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21074
24.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
118474
138.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
251825
294.8 IPS |
|
|
Object Detection (SP)
|
100% |
5956
472.4 IPS |
|
|
Object Detection (HP)
|
100% |
15802
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
22476
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
12808
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
32104
381.5 IPS |
|
|
Face Detection (Q)
|
100% |
47668
566.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20480
157.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52725
406.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
68090
529.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53207
68.4 IPS |
|
|
Style Transfer (HP)
|
100% |
193902
249.3 IPS |
|
|
Style Transfer (Q)
|
98% |
290864
375.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9147
337.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31449
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40301
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4258
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5430
7.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3125
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7655
132.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7433
128.0 IPS |
