GMKtec NucBox_EVO-X2
Geekbench AI Score
26741
Single Precision Score
38115
Half Precision Score
21058
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 09:26 PM |
| Views | 3 |
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 |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12813
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
13788
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11506
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23184
375.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32975
534.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20427
332.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
125647
146.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
286547
334.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
108077
126.6 IPS |
|
|
Object Detection (SP)
|
100% |
7550
598.9 IPS |
|
|
Object Detection (HP)
|
100% |
13789
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
7323
588.2 IPS |
|
|
Face Detection (SP)
|
100% |
31763
377.4 IPS |
|
|
Face Detection (HP)
|
100% |
47098
559.6 IPS |
|
|
Face Detection (Q)
|
97% |
26272
313.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55796
429.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74490
573.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
45673
366.3 IPS |
|
|
Style Transfer (SP)
|
100% |
226842
291.6 IPS |
|
|
Style Transfer (HP)
|
100% |
410904
528.2 IPS |
|
|
Style Transfer (Q)
|
98% |
193419
249.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43024
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61664
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33115
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4620
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4496
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
3147
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
8305
143.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9013
155.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3812
71.5 IPS |
