GMKtec NucBox K10
Geekbench AI Score
4383
Single Precision Score
4482
Half Precision Score
10412
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 05:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K10 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2772
515.5 IPS |
|
|
Image Classification (HP)
|
100% |
2849
529.7 IPS |
|
|
Image Classification (Q)
|
100% |
6589
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3558
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3648
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6640
107.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5235
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5276
6.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
19384
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (HP)
|
100% |
2769
219.6 IPS |
|
|
Object Detection (Q)
|
88% |
6741
540.3 IPS |
|
|
Face Detection (SP)
|
100% |
4759
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
5069
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
15428
183.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6788
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7038
54.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
17536
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15775
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15902
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
53793
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3336
123.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10676
395.4 IPS |
|
|
Text Classification (SP)
|
100% |
2590
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4338
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4357
75.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4233
72.9 IPS |
