GMKtec NucBox_EVO-X2
Geekbench AI Score
2858
Single Precision Score
2821
Half Precision Score
2445
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | pyrex |
| Upload Date | February 22 2026 03:06 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1842
342.6 IPS |
|
|
Image Classification (HP)
|
100% |
1734
322.5 IPS |
|
|
Image Classification (Q)
|
99% |
1888
352.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2975
48.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1652
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4248
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
5891
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
100% |
1989
157.8 IPS |
|
|
Object Detection (Q)
|
85% |
2167
174.5 IPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3714
44.1 IPS |
|
|
Face Detection (Q)
|
97% |
3744
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3205
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3129
24.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2823
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5275
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
5412
6.96 IPS |
|
|
Style Transfer (Q)
|
98% |
9689
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2534
93.9 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (Q)
|
58% |
777
18.2 IPS |
