GMKtec NucBox EVO-X1
Geekbench AI Score
1019
Single Precision Score
970
Half Precision Score
2571
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 03:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
698
129.8 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (Q)
|
100% |
1233
229.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1644
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1286
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1067
1.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
4332
5.07 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
88% |
1495
119.8 IPS |
|
|
Face Detection (SP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1906
22.6 IPS |
|
|
Face Detection (Q)
|
100% |
3823
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1466
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1444
11.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
4167
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3368
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3203
4.12 IPS |
|
|
Style Transfer (Q)
|
98% |
10457
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
651
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3071
113.7 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.8 IPS |
|
|
Text Classification (HP)
|
100% |
524
699.5 IPS |
|
|
Text Classification (Q)
|
92% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1693
29.2 IPS |
