GMKtec NucBox_EVO-X2
Geekbench AI Score
5804
Single Precision Score
2195
Half Precision Score
10572
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | October 21 2025 03:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5612
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
733
136.2 IPS |
|
|
Image Classification (Q)
|
99% |
10431
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15977
259.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14774
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11355
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
47397
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
4632
367.5 IPS |
|
|
Object Detection (HP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (Q)
|
86% |
12101
972.5 IPS |
|
|
Face Detection (SP)
|
100% |
10462
124.3 IPS |
|
|
Face Detection (HP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
12836
153.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15550
119.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3090
23.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11026
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30215
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23943
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
50206
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3533
130.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4285
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3852
77.4 IPS |
