GMKtec NucBox EVO-X1
Geekbench AI Score
3003
Single Precision Score
1510
Half Precision Score
6866
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 02:26 AM |
| Views | 5 |
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 | Equilibrado |
| 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% |
2813
523.1 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
99% |
7193
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10494
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6742
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5685
6.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
26771
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2791
221.4 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.4 IPS |
|
|
Object Detection (Q)
|
86% |
6132
492.8 IPS |
|
|
Face Detection (SP)
|
100% |
4746
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
8772
104.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1834
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12156
97.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10690
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10666
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23422
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3305
122.4 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
717
957.3 IPS |
|
|
Text Classification (Q)
|
97% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2049
41.2 IPS |
