GMKtec NucBox_EVO-X2
Geekbench AI Score
6025
Single Precision Score
2213
Half Precision Score
11111
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:59 AM |
| Views | 2 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4855
902.8 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.6 IPS |
|
|
Image Classification (Q)
|
99% |
11174
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15162
246.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14355
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10928
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
45827
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
4528
359.2 IPS |
|
|
Object Detection (HP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (Q)
|
86% |
13049
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
10912
129.7 IPS |
|
|
Face Detection (HP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
13076
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14863
114.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2937
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11867
94.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29056
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24521
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50632
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3281
121.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5126
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4126
82.9 IPS |
