GMKtec NucBox_EVO-X2
Geekbench AI Score
12079
Single Precision Score
12063
Half Precision Score
28570
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 16 2025 10:57 AM |
| Views | 10 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5995
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
5891
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
15168
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8089
131.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8592
139.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21580
349.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25178
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
25559
29.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
93834
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
7290
578.3 IPS |
|
|
Object Detection (HP)
|
100% |
7427
589.1 IPS |
|
|
Object Detection (Q)
|
88% |
17463
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
16283
193.5 IPS |
|
|
Face Detection (HP)
|
100% |
15438
183.4 IPS |
|
|
Face Detection (Q)
|
100% |
43926
521.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19760
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19648
151.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
55460
431.6 IPS |
|
|
Style Transfer (SP)
|
100% |
65477
84.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66286
85.2 IPS |
|
|
Style Transfer (Q)
|
98% |
238769
307.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11137
411.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11630
429.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31597
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4342
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4737
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
7295
125.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7112
122.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7761
133.7 IPS |
