GMKtec NucBox_EVO-X2
Geekbench AI Score
6200
Single Precision Score
6063
Half Precision Score
15940
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | December 22 2025 11:23 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% |
4269
794.0 IPS |
|
|
Image Classification (HP)
|
100% |
3892
723.8 IPS |
|
|
Image Classification (Q)
|
100% |
8841
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4041
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3655
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9418
152.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8871
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
28099
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3491
276.9 IPS |
|
|
Object Detection (HP)
|
100% |
3804
301.7 IPS |
|
|
Object Detection (Q)
|
88% |
10529
844.0 IPS |
|
|
Face Detection (SP)
|
100% |
8607
102.3 IPS |
|
|
Face Detection (HP)
|
100% |
8146
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
25339
301.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8595
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8022
61.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
24739
192.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22423
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22437
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
77947
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4417
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16583
614.1 IPS |
|
|
Text Classification (SP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6670
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5560
95.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7955
137.0 IPS |
