GMKtec NucBox_EVO-X2
Geekbench AI Score
6734
Single Precision Score
2452
Half Precision Score
11632
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | November 02 2025 11:57 AM |
| Views | 4 |
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% |
5837
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
782
145.4 IPS |
|
|
Image Classification (Q)
|
99% |
12935
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16361
266.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15278
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11704
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
49882
58.5 IPS |
|
|
Object Detection (SP)
|
100% |
4968
394.1 IPS |
|
|
Object Detection (HP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (Q)
|
86% |
13543
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
12346
146.7 IPS |
|
|
Face Detection (HP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
13701
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16504
127.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3188
24.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11624
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32373
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27015
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
50541
65.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4635
171.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1107
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1744
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3173
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4656
93.6 IPS |
