GMKtec NucBox_EVO-X2
Geekbench AI Score
6166
Single Precision Score
2319
Half Precision Score
10940
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | JerzyP |
| Upload Date | January 31 2026 04:04 PM |
| Views | 5 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5178
963.0 IPS |
|
|
Image Classification (HP)
|
100% |
737
137.1 IPS |
|
|
Image Classification (Q)
|
99% |
10927
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15572
253.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14176
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10947
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
47322
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
5237
415.4 IPS |
|
|
Object Detection (HP)
|
100% |
896
71.0 IPS |
|
|
Object Detection (Q)
|
86% |
12647
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
11543
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
12839
153.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15350
118.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3062
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10610
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29796
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25412
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47514
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3252
120.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5367
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1696
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4096
82.3 IPS |
