GMKtec NucBox K13
Geekbench AI Score
2760
Single Precision Score
29050
Half Precision Score
46599
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 01 2026 03:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1698
315.7 IPS |
|
|
Image Classification (HP)
|
100% |
15212
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
22547
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18675
302.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29485
478.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
108949
127.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
246302
288.5 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
16959
1.35 KIPS |
|
|
Object Detection (Q)
|
88% |
27483
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4703
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
37283
443.0 IPS |
|
|
Face Detection (Q)
|
100% |
79340
942.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4055
31.2 IPS |
|
|
Depth Estimation (HP)
|
92% |
80403
623.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
161778
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
8748
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
239893
308.4 IPS |
|
|
Style Transfer (Q)
|
98% |
350636
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42376
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81521
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1947
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3213
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8276
142.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9102
156.8 IPS |
