GMKtec NucBox EVO-X1
Geekbench AI Score
8423
Single Precision Score
12379
Half Precision Score
6542
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | etheus |
| Upload Date | March 27 2025 02:02 PM |
| Views | 15 |
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% |
3214
597.8 IPS |
|
|
Image Classification (HP)
|
100% |
5822
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
2930
544.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4606
74.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5852
94.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3794
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
43750
51.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
72063
84.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34370
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.5 IPS |
|
|
Object Detection (HP)
|
100% |
4471
354.6 IPS |
|
|
Object Detection (Q)
|
87% |
2431
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
12330
146.5 IPS |
|
|
Face Detection (Q)
|
97% |
5726
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20033
154.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29205
225.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
16605
133.2 IPS |
|
|
Style Transfer (SP)
|
100% |
72613
93.3 IPS |
|
|
Style Transfer (HP)
|
100% |
114490
147.2 IPS |
|
|
Style Transfer (Q)
|
98% |
55053
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13332
492.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18248
673.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8920
330.3 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2020
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1640
30.8 IPS |
