GMKtec NucBox_EVO-X2
Geekbench AI Score
5180
Single Precision Score
1903
Half Precision Score
8894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jsdoc |
| Upload Date | June 23 2025 04:43 AM |
| Views | 11 |
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% |
4922
915.3 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
99% |
11246
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3104
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13971
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
49007
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
3930
311.7 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (Q)
|
86% |
12507
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
10166
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
12721
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13763
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2605
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9141
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27678
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23185
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
52708
68.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3796
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
689
919.3 IPS |
|
|
Text Classification (Q)
|
97% |
1656
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3761
75.6 IPS |
