GMKtec NucBox_EVO-X2
Geekbench AI Score
3079
Single Precision Score
3112
Half Precision Score
2520
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | maquiz |
| Upload Date | September 22 2025 08:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.7 IPS |
|
|
Image Classification (Q)
|
99% |
1925
359.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3380
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3218
52.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1682
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4903
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4890
5.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
6316
7.40 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (Q)
|
85% |
2234
179.8 IPS |
|
|
Face Detection (SP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (Q)
|
97% |
3646
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3232
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3234
24.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3142
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5696
7.32 IPS |
|
|
Style Transfer (HP)
|
100% |
5734
7.37 IPS |
|
|
Style Transfer (Q)
|
98% |
9630
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2668
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
942
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (Q)
|
58% |
816
19.2 IPS |
