GMKtec NucBox K13
Geekbench AI Score
2787
Single Precision Score
2081
Half Precision Score
7437
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 03 2026 05:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (Q)
|
100% |
4732
880.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4490
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2805
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
11515
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (Q)
|
88% |
5101
408.9 IPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
11864
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4156
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3048
23.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
12244
95.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8641
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6184
7.95 IPS |
|
|
Style Transfer (Q)
|
98% |
32580
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6854
253.8 IPS |
|
|
Text Classification (SP)
|
100% |
1952
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
4229
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2700
46.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3025
52.1 IPS |
