GMKtec NucBox EVO-X1
Geekbench AI Score
8605
Single Precision Score
12668
Half Precision Score
6591
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | etheus |
| Upload Date | February 21 2025 06:37 PM |
| Views | 11 |
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% |
2818
524.1 IPS |
|
|
Image Classification (HP)
|
100% |
5489
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
3185
592.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4664
75.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5604
90.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3745
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47912
55.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
76710
89.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
35110
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
4072
323.0 IPS |
|
|
Object Detection (Q)
|
87% |
2255
181.1 IPS |
|
|
Face Detection (SP)
|
100% |
6968
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
12669
150.5 IPS |
|
|
Face Detection (Q)
|
97% |
5764
68.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20766
160.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32209
248.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
15856
127.2 IPS |
|
|
Style Transfer (SP)
|
100% |
76943
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
124930
160.6 IPS |
|
|
Style Transfer (Q)
|
98% |
57407
74.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14722
543.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20670
763.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9990
369.9 IPS |
|
|
Text Classification (SP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4047
69.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1773
33.2 IPS |
