GMKtec NucBox_EVO-X2
Geekbench AI Score
4186
Single Precision Score
1077
Half Precision Score
9616
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | pyrex |
| Upload Date | February 22 2026 03:09 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
1839
341.9 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (Q)
|
97% |
8457
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
3128
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18302
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9070
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
59942
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (Q)
|
86% |
10443
839.3 IPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
97% |
16027
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10532
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
969
7.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
17485
139.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28934
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23823
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40810
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3407
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3003
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4722
174.9 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1936
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2974
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3906
78.5 IPS |
