GMKtec NucBox K13
Geekbench AI Score
3550
Single Precision Score
6949
Half Precision Score
2343
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 01 2026 03:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| 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% |
3566
663.2 IPS |
|
|
Image Classification (HP)
|
100% |
4240
788.5 IPS |
|
|
Image Classification (Q)
|
100% |
1037
192.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4882
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8665
140.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3835
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5838
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
17296
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3809
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (HP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (Q)
|
88% |
767
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
5789
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
9787
116.3 IPS |
|
|
Face Detection (Q)
|
97% |
5124
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8881
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13772
106.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6317
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
115232
148.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19083
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6000
221.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1644
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (Q)
|
97% |
484
648.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1460
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (Q)
|
70% |
875
16.4 IPS |
