GMKtec NucBox_EVO-X2
Geekbench AI Score
6973
Single Precision Score
2523
Half Precision Score
11889
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | November 09 2025 10:50 PM |
| Views | 2 |
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% |
6816
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (Q)
|
99% |
11837
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16323
265.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16014
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12302
14.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
51137
60.0 IPS |
|
|
Object Detection (SP)
|
100% |
5153
408.7 IPS |
|
|
Object Detection (HP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (Q)
|
86% |
14106
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
12230
145.3 IPS |
|
|
Face Detection (HP)
|
100% |
2090
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
13990
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17039
131.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3392
26.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12269
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32916
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28177
36.2 IPS |
|
|
Style Transfer (Q)
|
98% |
51829
66.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3871
143.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5253
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2010
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4310
86.6 IPS |
