GMKtec NucBox EVO-X1
Geekbench AI Score
3304
Single Precision Score
1614
Half Precision Score
6973
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 11:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| Power Plan | Advanced SystemCare |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2928
544.5 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (Q)
|
99% |
5597
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8710
141.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5882
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5553
6.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
26546
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
86% |
6580
528.9 IPS |
|
|
Face Detection (SP)
|
100% |
5230
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
1535
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
9594
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6764
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2124
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15084
120.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11804
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11643
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28169
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2225
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1970
72.9 IPS |
|
|
Text Classification (SP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1493
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2665
53.5 IPS |
