GMKtec NucBox_EVO-X2 128 GMKtec NucBox_EVO-X2
Geekbench AI Score
2841
Single Precision Score
2785
Half Precision Score
2336
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Marina |
| Upload Date | September 16 2025 07:58 AM |
| Views | 2 |
| Notes | AMD Ryzen Al Max+ 395 @ 3663.15 MHZ GMKTEC EVO-X2 - Memory (RAM) 131072 MB GPU AMD Radeon(TM) 8060S Graphics (Strix Halo) Dual boot su due dischi Nvme diversi con Windows 11 25h2 e Ubuntu 24.04.2 con Roc-m 6.4 proveniente da GMKTEC |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 rocm6.4 LTS amd64 (Cubic 2025-08-01 17:29) |
| 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 | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
1888
351.0 IPS |
|
|
Image Classification (Q)
|
99% |
1761
328.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1559
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4032
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3886
4.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
5582
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
2267
179.9 IPS |
|
|
Object Detection (Q)
|
85% |
1978
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (Q)
|
97% |
3609
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3100
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3038
23.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2873
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5199
6.68 IPS |
|
|
Style Transfer (HP)
|
100% |
5315
6.83 IPS |
|
|
Style Transfer (Q)
|
98% |
8866
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2414
89.4 IPS |
|
|
Text Classification (SP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (Q)
|
58% |
825
19.4 IPS |
