GMKtec NucBox EVO-X1
Geekbench AI Score
9023
Single Precision Score
13903
Half Precision Score
6723
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 02:55 PM |
| Views | 7 |
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 |
| 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% |
3263
606.9 IPS |
|
|
Image Classification (HP)
|
100% |
5313
988.0 IPS |
|
|
Image Classification (Q)
|
100% |
3069
570.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4880
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6042
98.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3922
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
49710
58.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
110616
129.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
36179
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
2768
219.5 IPS |
|
|
Object Detection (HP)
|
100% |
4382
347.6 IPS |
|
|
Object Detection (Q)
|
87% |
2551
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
6969
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
12502
148.6 IPS |
|
|
Face Detection (Q)
|
97% |
5886
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21969
169.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33166
255.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
16400
131.5 IPS |
|
|
Style Transfer (SP)
|
100% |
87365
112.3 IPS |
|
|
Style Transfer (HP)
|
100% |
160174
205.9 IPS |
|
|
Style Transfer (Q)
|
98% |
58763
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15396
568.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26124
964.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10040
371.8 IPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2556
3.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1644
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1816
34.1 IPS |
