GMKtec NucBox_EVO-X2
Geekbench AI Score
12965
Single Precision Score
13124
Half Precision Score
32055
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | pyrex |
| Upload Date | February 22 2026 03:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7014
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
6978
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
17321
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8411
136.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8671
140.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25909
420.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25155
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
24818
29.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
91545
107.2 IPS |
|
|
Object Detection (SP)
|
100% |
7893
626.1 IPS |
|
|
Object Detection (HP)
|
100% |
8034
637.2 IPS |
|
|
Object Detection (Q)
|
88% |
18850
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
18309
217.6 IPS |
|
|
Face Detection (HP)
|
100% |
18029
214.2 IPS |
|
|
Face Detection (Q)
|
100% |
52661
625.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22083
170.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22824
175.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
61249
476.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56253
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
59452
76.4 IPS |
|
|
Style Transfer (Q)
|
98% |
220298
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12185
450.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12455
459.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35169
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4909
6.55 KIPS |
|
|
Text Classification (Q)
|
92% |
5999
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
8505
146.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8404
144.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9867
170.0 IPS |
