EVO-X2 GMKtec NucBox_EVO-X2
Geekbench AI Score
5241
Single Precision Score
1987
Half Precision Score
9613
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | fklauber |
| Upload Date | January 14 2026 10:20 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3833
712.8 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
99% |
9253
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14564
236.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14562
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10137
11.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
46609
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
3975
315.3 IPS |
|
|
Object Detection (HP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (Q)
|
86% |
11673
938.2 IPS |
|
|
Face Detection (SP)
|
100% |
11089
131.8 IPS |
|
|
Face Detection (HP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
11608
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13068
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2594
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9271
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25840
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21601
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46779
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3047
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2689
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4101
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
1835
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1415
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3148
63.3 IPS |
