GMKtec NucBox_EVO-X2
Geekbench AI Score
6308
Single Precision Score
2586
Half Precision Score
10748
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 16 2025 10:53 AM |
| Views | 11 |
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% |
4585
852.7 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.2 IPS |
|
|
Image Classification (Q)
|
99% |
11067
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16619
270.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23845
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15255
17.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
65654
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
4867
386.1 IPS |
|
|
Object Detection (HP)
|
100% |
1059
84.0 IPS |
|
|
Object Detection (Q)
|
86% |
12889
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
10393
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
2194
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
14409
171.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15795
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3970
30.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12602
100.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38783
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29306
37.7 IPS |
|
|
Style Transfer (Q)
|
98% |
67596
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4145
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2907
107.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1516
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1637
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4340
87.2 IPS |
