GMKtec NucBox EVO-X1
Geekbench AI Score
8837
Single Precision Score
13991
Half Precision Score
6412
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | August 23 2025 08:06 AM |
| 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 |
| 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% |
3698
687.8 IPS |
|
|
Image Classification (HP)
|
100% |
4874
906.4 IPS |
|
|
Image Classification (Q)
|
100% |
3034
564.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4736
76.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6115
99.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3560
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
40831
47.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
98971
115.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
31515
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
4589
364.0 IPS |
|
|
Object Detection (Q)
|
87% |
2420
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
6932
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
12185
144.8 IPS |
|
|
Face Detection (Q)
|
97% |
5679
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19465
150.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34086
262.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
15025
120.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77487
99.6 IPS |
|
|
Style Transfer (HP)
|
100% |
141413
181.8 IPS |
|
|
Style Transfer (Q)
|
98% |
53846
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15282
564.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26852
991.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9779
362.1 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1764
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4519
77.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1801
33.8 IPS |
