GMKtec NucBox_EVO-X2
Geekbench AI Score
25112
Single Precision Score
34865
Half Precision Score
19447
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yas0083 |
| Upload Date | July 31 2025 02:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12731
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
13955
2.60 KIPS |
|
|
Image Classification (Q)
|
100% |
11240
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21465
348.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16684
270.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18017
293.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
113751
132.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
292098
340.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
98901
115.8 IPS |
|
|
Object Detection (SP)
|
100% |
7406
587.5 IPS |
|
|
Object Detection (HP)
|
100% |
13665
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7186
577.1 IPS |
|
|
Face Detection (SP)
|
100% |
28411
337.6 IPS |
|
|
Face Detection (HP)
|
100% |
44545
529.3 IPS |
|
|
Face Detection (Q)
|
97% |
24766
295.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
54661
421.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73750
568.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
42467
340.6 IPS |
|
|
Style Transfer (SP)
|
100% |
231068
297.0 IPS |
|
|
Style Transfer (HP)
|
100% |
425095
546.5 IPS |
|
|
Style Transfer (Q)
|
98% |
178988
230.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41605
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57481
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32197
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4147
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4386
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2811
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
6999
120.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8113
139.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3155
59.2 IPS |
