GMKtec NucBox_EVO-X2
Geekbench AI Score
6593
Single Precision Score
6449
Half Precision Score
19450
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | June 02 2025 05:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 w/ Radeon 8060S |
| 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% |
4088
760.2 IPS |
|
|
Image Classification (HP)
|
100% |
3968
738.0 IPS |
|
|
Image Classification (Q)
|
100% |
11843
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4414
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3809
61.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11048
179.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
37603
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
3666
290.8 IPS |
|
|
Object Detection (HP)
|
100% |
4101
325.3 IPS |
|
|
Object Detection (Q)
|
88% |
15094
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
9824
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
8753
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
31927
379.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9897
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11562
89.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
36709
285.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25267
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26271
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
88462
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17615
652.4 IPS |
|
|
Text Classification (SP)
|
100% |
3780
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6266
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5945
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5734
98.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9120
157.1 IPS |
