GMKtec NucBox EVO-X1
Geekbench AI Score
3995
Single Precision Score
2003
Half Precision Score
7803
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:33 PM |
| Views | 2 |
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 | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2886
536.7 IPS |
|
|
Image Classification (HP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (Q)
|
99% |
7350
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9947
161.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7918
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6621
7.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
28191
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2781
220.6 IPS |
|
|
Object Detection (HP)
|
100% |
950
75.4 IPS |
|
|
Object Detection (Q)
|
86% |
7942
638.3 IPS |
|
|
Face Detection (SP)
|
100% |
6544
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
11335
135.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3134
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17132
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18435
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16240
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33345
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
1698
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3574
71.8 IPS |
