GMKtec NucBox_EVO-X2
Geekbench AI Score
6299
Single Precision Score
2257
Half Precision Score
10290
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rich777 |
| Upload Date | June 21 2025 12:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
5316
988.5 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (Q)
|
99% |
12504
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3863
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15017
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11020
12.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
50419
59.1 IPS |
|
|
Object Detection (SP)
|
100% |
5848
463.9 IPS |
|
|
Object Detection (HP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (Q)
|
86% |
13736
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
11512
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
14215
169.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16294
125.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3355
25.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10849
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31428
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26795
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
49918
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3668
135.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4988
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.3 IPS |
|
|
Text Classification (Q)
|
97% |
2016
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5144
103.4 IPS |
