GMKtec NucBox EVO-X1
Geekbench AI Score
9221
Single Precision Score
13395
Half Precision Score
7051
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fchgds |
| Upload Date | December 02 2025 07:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| Power Plan | Balanced |
| 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% |
3710
689.9 IPS |
|
|
Image Classification (HP)
|
100% |
5795
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3297
613.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4984
80.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6302
102.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4212
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
49092
57.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
79185
92.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
36941
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
2769
219.7 IPS |
|
|
Object Detection (HP)
|
100% |
4200
333.2 IPS |
|
|
Object Detection (Q)
|
87% |
2619
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
7302
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
13452
159.8 IPS |
|
|
Face Detection (Q)
|
97% |
5985
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22176
170.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33760
260.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
17057
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
83961
107.9 IPS |
|
|
Style Transfer (HP)
|
100% |
134158
172.5 IPS |
|
|
Style Transfer (Q)
|
98% |
61182
78.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14876
549.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21421
791.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10056
372.4 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1780
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2023
37.9 IPS |
