GMKtec NucBox EVO-X1
Geekbench AI Score
1757
Single Precision Score
800
Half Precision Score
3711
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 02:53 PM |
| 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 |
| 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% |
1596
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
99% |
3237
603.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
4302
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2721
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
10508
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
86% |
3412
274.3 IPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
825
9.80 IPS |
|
|
Face Detection (Q)
|
97% |
4559
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3554
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1215
9.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
8023
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6678
8.58 IPS |
|
|
Style Transfer (HP)
|
100% |
6622
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
17912
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1017
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1669
61.8 IPS |
|
|
Text Classification (SP)
|
100% |
711
948.8 IPS |
|
|
Text Classification (HP)
|
100% |
349
466.1 IPS |
|
|
Text Classification (Q)
|
97% |
638
854.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
65% |
1425
28.6 IPS |
