GMKtec NucBox EVO-X1
Geekbench AI Score
4053
Single Precision Score
1783
Half Precision Score
7846
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3005
558.9 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
99% |
7232
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3759
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8015
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
6036
7.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
27534
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (HP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (Q)
|
86% |
7550
606.8 IPS |
|
|
Face Detection (SP)
|
100% |
6210
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
1763
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
11087
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2990
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16388
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18517
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15185
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32499
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2441
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3881
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
1665
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
745
994.1 IPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4089
82.2 IPS |
