GMKtec NucBox_EVO-X2
Geekbench AI Score
26582
Single Precision Score
38862
Half Precision Score
20379
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | December 22 2025 11:25 PM |
| Views | 4 |
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 |
| 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% |
13171
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
14215
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
11779
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22600
366.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
32715
530.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19727
320.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
129217
150.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
286583
334.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
103825
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
6851
543.5 IPS |
|
|
Object Detection (HP)
|
100% |
14306
1.13 KIPS |
|
|
Object Detection (Q)
|
87% |
7171
575.9 IPS |
|
|
Face Detection (SP)
|
100% |
28441
337.9 IPS |
|
|
Face Detection (HP)
|
100% |
47842
568.5 IPS |
|
|
Face Detection (Q)
|
97% |
20562
245.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
55126
424.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
76430
588.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
43904
352.1 IPS |
|
|
Style Transfer (SP)
|
100% |
236841
304.5 IPS |
|
|
Style Transfer (HP)
|
100% |
435461
559.8 IPS |
|
|
Style Transfer (Q)
|
98% |
198652
256.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47160
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64024
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35665
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4768
6.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4603
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
3243
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
8008
137.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8783
151.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3444
64.6 IPS |
