GMKtec NucBox K13
Geekbench AI Score
2690
Single Precision Score
1271
Half Precision Score
5543
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 01 2026 03:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (Q)
|
99% |
4391
819.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6416
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4037
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2844
3.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
14263
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
86% |
4373
351.5 IPS |
|
|
Face Detection (SP)
|
100% |
5254
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
6958
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5126
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1838
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10991
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9835
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7807
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17825
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3994
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
1227
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
601
801.9 IPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2380
47.8 IPS |
