GMKtec NucBox_EVO-X2
Geekbench AI Score
6914
Single Precision Score
6800
Half Precision Score
18016
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | November 09 2025 08:20 PM |
| Views | 6 |
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 |
| 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% |
3553
660.7 IPS |
|
|
Image Classification (HP)
|
100% |
4646
864.0 IPS |
|
|
Image Classification (Q)
|
100% |
10163
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4624
75.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12766
206.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9579
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9880
11.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
33883
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3861
306.3 IPS |
|
|
Object Detection (HP)
|
100% |
3938
312.4 IPS |
|
|
Object Detection (Q)
|
88% |
12513
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
12005
142.6 IPS |
|
|
Face Detection (HP)
|
100% |
9337
110.9 IPS |
|
|
Face Detection (Q)
|
100% |
25401
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8994
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10408
80.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34551
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24507
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25291
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
91333
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16349
605.5 IPS |
|
|
Text Classification (SP)
|
100% |
4494
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
92% |
5730
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6217
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5184
89.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8725
150.3 IPS |
