GMKtec NucBox_K12
Geekbench AI Score
5688
Single Precision Score
5662
Half Precision Score
16093
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | mikehell87 |
| Upload Date | January 22 2026 03:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 H 255 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GMKtec NucBox_K12 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 H 255 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3681
684.6 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
100% |
10455
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3317
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3264
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11083
179.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7417
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
7430
8.67 IPS |
|
|
Pose Estimation (Q)
|
98% |
28071
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3339
264.9 IPS |
|
|
Object Detection (HP)
|
100% |
3274
259.7 IPS |
|
|
Object Detection (Q)
|
88% |
10424
835.6 IPS |
|
|
Face Detection (SP)
|
100% |
7682
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
7539
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
26026
309.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9223
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9226
71.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
26899
209.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19727
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19846
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
77091
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4380
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15000
555.5 IPS |
|
|
Text Classification (SP)
|
100% |
3622
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (Q)
|
92% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5328
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7570
130.4 IPS |
