GMKtec NucBox_EVO-X2
Geekbench AI Score
6725
Single Precision Score
6819
Half Precision Score
16068
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tinngami |
| Upload Date | February 06 2026 03:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| 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% |
4017
747.1 IPS |
|
|
Image Classification (HP)
|
100% |
4095
761.6 IPS |
|
|
Image Classification (Q)
|
100% |
8599
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4713
76.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4695
76.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12465
202.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11511
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11024
12.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
40844
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
3478
275.9 IPS |
|
|
Object Detection (HP)
|
100% |
3968
314.7 IPS |
|
|
Object Detection (Q)
|
88% |
9673
775.4 IPS |
|
|
Face Detection (SP)
|
100% |
9766
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
10981
130.5 IPS |
|
|
Face Detection (Q)
|
100% |
28495
338.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10700
82.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11461
88.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
28243
219.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31213
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30678
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
107143
138.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5592
206.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17614
652.3 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4325
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4883
84.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4783
82.4 IPS |
