GMKtec NucBox EVO-X1
Geekbench AI Score
9048
Single Precision Score
13121
Half Precision Score
6645
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vitorcalvi |
| Upload Date | March 06 2025 12:24 PM |
| Views | 2 |
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 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% |
3729
693.5 IPS |
|
|
Image Classification (HP)
|
100% |
5909
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
3399
632.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4984
80.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5892
95.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4011
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
50246
58.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
82152
95.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
37848
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
4465
354.2 IPS |
|
|
Object Detection (Q)
|
87% |
2269
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
7182
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
11708
139.1 IPS |
|
|
Face Detection (Q)
|
97% |
6014
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21786
167.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32381
249.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
16265
130.4 IPS |
|
|
Style Transfer (SP)
|
100% |
83525
107.4 IPS |
|
|
Style Transfer (HP)
|
100% |
140574
180.7 IPS |
|
|
Style Transfer (Q)
|
98% |
58133
75.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15115
558.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23679
874.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8001
296.3 IPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1959
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3010
51.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1610
30.2 IPS |
