GMKtec NucBox_EVO-X2
Geekbench AI Score
26226
Single Precision Score
35709
Half Precision Score
20461
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 06:45 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13257
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
14173
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
11695
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22521
365.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17506
283.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18654
303.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
131621
153.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
301219
351.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
112695
132.0 IPS |
|
|
Object Detection (SP)
|
100% |
7300
579.0 IPS |
|
|
Object Detection (HP)
|
100% |
13666
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7215
579.5 IPS |
|
|
Face Detection (SP)
|
100% |
30089
357.5 IPS |
|
|
Face Detection (HP)
|
100% |
46211
549.1 IPS |
|
|
Face Detection (Q)
|
97% |
25247
301.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56265
433.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74256
572.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
46797
375.3 IPS |
|
|
Style Transfer (SP)
|
100% |
237838
305.7 IPS |
|
|
Style Transfer (HP)
|
100% |
443038
569.5 IPS |
|
|
Style Transfer (Q)
|
98% |
205187
264.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43589
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59127
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32641
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4162
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4344
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2804
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
7348
126.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8454
145.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3269
61.3 IPS |
