GMKtec NucBox_EVO-X2
Geekbench AI Score
24621
Single Precision Score
34938
Half Precision Score
20824
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | November 09 2025 08:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12121
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
12879
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
11537
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14741
239.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17389
281.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19346
314.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
130990
152.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
301157
351.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
113242
132.6 IPS |
|
|
Object Detection (SP)
|
100% |
7244
574.6 IPS |
|
|
Object Detection (HP)
|
100% |
13446
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
7159
575.0 IPS |
|
|
Face Detection (SP)
|
100% |
29432
349.7 IPS |
|
|
Face Detection (HP)
|
100% |
46927
557.6 IPS |
|
|
Face Detection (Q)
|
97% |
25716
306.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54996
423.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
74297
572.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
45282
363.1 IPS |
|
|
Style Transfer (SP)
|
100% |
237571
305.4 IPS |
|
|
Style Transfer (HP)
|
100% |
440938
566.8 IPS |
|
|
Style Transfer (Q)
|
98% |
204081
263.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43504
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57550
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34659
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4155
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
97% |
3007
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6947
119.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8054
138.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3423
64.2 IPS |
