GMKtec NucBox K13
Geekbench AI Score
2704
Single Precision Score
1288
Half Precision Score
5597
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 02 2026 03:56 AM |
| Views | 14 |
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 |
| 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% |
1818
338.1 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
99% |
4592
856.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5961
96.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4083
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3108
3.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
14254
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1903
150.9 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (Q)
|
86% |
4647
373.5 IPS |
|
|
Face Detection (SP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
7286
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5202
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1817
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11106
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10011
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7879
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17492
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4074
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.3 IPS |
|
|
Text Classification (Q)
|
97% |
1267
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2278
45.8 IPS |
