GMKtec NucBox EVO-X1
Geekbench AI Score
4247
Single Precision Score
1852
Half Precision Score
7830
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vitorcalvi |
| Upload Date | March 06 2025 12:21 PM |
| Views | 3 |
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 |
| Power Plan | Balanced |
| 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% |
3176
590.6 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.4 IPS |
|
|
Image Classification (Q)
|
99% |
7664
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3920
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8178
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6404
7.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
27804
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3198
253.6 IPS |
|
|
Object Detection (HP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (Q)
|
86% |
8138
654.0 IPS |
|
|
Face Detection (SP)
|
100% |
6535
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
11404
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9211
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3005
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16712
133.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18060
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16352
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32995
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2421
89.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4057
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1428
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3500
70.3 IPS |
