GMKtec NucBox_EVO-X2
Geekbench AI Score
7015
Single Precision Score
7113
Half Precision Score
18979
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SIGSTART |
| Upload Date | June 28 2025 09:02 AM |
| Views | 6 |
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 |
| 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% |
3350
623.0 IPS |
|
|
Image Classification (HP)
|
100% |
4379
814.4 IPS |
|
|
Image Classification (Q)
|
100% |
12546
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4887
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4607
74.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12305
199.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9776
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9443
11.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
38507
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
4854
385.0 IPS |
|
|
Object Detection (HP)
|
100% |
3420
271.3 IPS |
|
|
Object Detection (Q)
|
88% |
11319
907.4 IPS |
|
|
Face Detection (SP)
|
100% |
10682
126.9 IPS |
|
|
Face Detection (HP)
|
100% |
11977
142.3 IPS |
|
|
Face Detection (Q)
|
100% |
35726
424.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11191
86.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11000
84.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29859
232.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25857
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24820
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
86545
111.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4884
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19261
713.3 IPS |
|
|
Text Classification (SP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4322
5.77 KIPS |
|
|
Text Classification (Q)
|
92% |
6517
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5858
100.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6159
106.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7779
134.0 IPS |
