GMKtec NucBox_EVO-X2
Geekbench AI Score
6125
Single Precision Score
2244
Half Precision Score
9804
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Marina |
| Upload Date | June 26 2025 05:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5940
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (Q)
|
99% |
11090
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3478
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15014
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10949
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
46925
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
4769
378.3 IPS |
|
|
Object Detection (HP)
|
100% |
915
72.6 IPS |
|
|
Object Detection (Q)
|
86% |
12878
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
10635
126.4 IPS |
|
|
Face Detection (HP)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
13570
161.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16278
125.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3024
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11406
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31369
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26856
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46977
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4688
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5007
100.6 IPS |
