GMKtec NucBox_EVO-X2
Geekbench AI Score
6420
Single Precision Score
2579
Half Precision Score
10734
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 16 2025 06:42 PM |
| Views | 9 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4593
854.2 IPS |
|
|
Image Classification (HP)
|
100% |
855
159.0 IPS |
|
|
Image Classification (Q)
|
99% |
11140
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16678
271.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25032
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15463
18.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
67538
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
5052
400.7 IPS |
|
|
Object Detection (HP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (Q)
|
86% |
13060
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
10736
127.6 IPS |
|
|
Face Detection (HP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
14469
172.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17761
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3891
30.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12742
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38480
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29790
38.3 IPS |
|
|
Style Transfer (Q)
|
98% |
68811
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3917
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3015
111.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1549
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1541
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4093
82.2 IPS |
