GMKtec NucBox_K12
Geekbench AI Score
24795
Single Precision Score
33594
Half Precision Score
19401
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 06:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | GMKtec NucBox_K12 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Energiesparmodus |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10598
1.97 KIPS |
|
|
Image Classification (HP)
|
100% |
11694
2.17 KIPS |
|
|
Image Classification (Q)
|
99% |
8761
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14747
239.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16842
273.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13677
222.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
165104
192.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
470453
548.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
149730
175.4 IPS |
|
|
Object Detection (SP)
|
100% |
10381
823.4 IPS |
|
|
Object Detection (HP)
|
99% |
13611
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
9028
725.1 IPS |
|
|
Face Detection (SP)
|
100% |
30974
368.0 IPS |
|
|
Face Detection (HP)
|
100% |
35150
417.7 IPS |
|
|
Face Detection (Q)
|
97% |
27412
326.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
66697
513.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96457
743.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
51141
409.8 IPS |
|
|
Style Transfer (SP)
|
100% |
294979
379.2 IPS |
|
|
Style Transfer (HP)
|
100% |
515131
662.2 IPS |
|
|
Style Transfer (Q)
|
98% |
260457
335.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38828
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56995
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29270
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2116
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4010
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2063
38.7 IPS |
