GMKtec NucBox EVO-X1
Geekbench AI Score
4052
Single Precision Score
1842
Half Precision Score
7813
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | funskeen |
| Upload Date | February 19 2025 07:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3069
570.8 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
99% |
7584
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3859
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7777
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6273
7.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
29468
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
2967
235.3 IPS |
|
|
Object Detection (HP)
|
100% |
887
70.3 IPS |
|
|
Object Detection (Q)
|
86% |
7625
612.8 IPS |
|
|
Face Detection (SP)
|
100% |
6290
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
1785
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
11644
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2845
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17521
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17315
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15974
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33649
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2582
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3519
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
1751
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1709
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3123
62.8 IPS |
