GMKtec NucBox_K12
Geekbench AI Score
15773
Single Precision Score
20078
Half Precision Score
12252
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | mikehell87 |
| Upload Date | January 22 2026 03:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
| 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% |
7738
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8773
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
6641
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9678
156.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8439
136.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8283
134.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
89840
104.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
164464
191.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
79057
92.6 IPS |
|
|
Object Detection (SP)
|
100% |
6186
490.7 IPS |
|
|
Object Detection (HP)
|
99% |
9138
724.8 IPS |
|
|
Object Detection (Q)
|
87% |
5678
456.0 IPS |
|
|
Face Detection (SP)
|
100% |
18873
224.2 IPS |
|
|
Face Detection (HP)
|
100% |
24012
285.3 IPS |
|
|
Face Detection (Q)
|
97% |
16780
200.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
42934
330.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52338
403.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
34400
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
146778
188.7 IPS |
|
|
Style Transfer (HP)
|
100% |
243930
313.6 IPS |
|
|
Style Transfer (Q)
|
98% |
141303
182.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25560
943.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35366
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19063
705.9 IPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2821
3.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2939
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1354
25.4 IPS |
