GMKtec NucBox_EVO-X2
Geekbench AI Score
26061
Single Precision Score
38519
Half Precision Score
20108
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jesse_elve |
| Upload Date | November 09 2025 10:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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% |
13054
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
13975
2.60 KIPS |
|
|
Image Classification (Q)
|
100% |
11706
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23717
384.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32646
529.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19732
320.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
124138
144.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
292631
341.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
102485
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
7052
559.4 IPS |
|
|
Object Detection (HP)
|
100% |
14113
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
7100
570.2 IPS |
|
|
Face Detection (SP)
|
100% |
28869
343.0 IPS |
|
|
Face Detection (HP)
|
100% |
47365
562.8 IPS |
|
|
Face Detection (Q)
|
97% |
21899
261.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
50286
387.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75723
583.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
39773
319.0 IPS |
|
|
Style Transfer (SP)
|
100% |
211225
271.5 IPS |
|
|
Style Transfer (HP)
|
100% |
428698
551.1 IPS |
|
|
Style Transfer (Q)
|
98% |
192589
248.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45407
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63295
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34810
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
4777
6.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4501
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
3202
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
8019
138.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8712
150.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3439
64.5 IPS |
