GMKtec NucBox_EVO-X2
Geekbench AI Score
25449
Single Precision Score
35276
Half Precision Score
19786
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 16 2025 10:55 AM |
| Views | 11 |
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 |
| 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% |
12580
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
13867
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11309
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22151
359.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17352
281.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18237
296.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
119789
139.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
290352
338.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
107429
125.8 IPS |
|
|
Object Detection (SP)
|
100% |
7282
577.6 IPS |
|
|
Object Detection (HP)
|
100% |
13727
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
7034
564.9 IPS |
|
|
Face Detection (SP)
|
100% |
30343
360.5 IPS |
|
|
Face Detection (HP)
|
100% |
47174
560.5 IPS |
|
|
Face Detection (Q)
|
97% |
24336
290.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54547
420.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74025
570.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
45158
362.1 IPS |
|
|
Style Transfer (SP)
|
100% |
224958
289.2 IPS |
|
|
Style Transfer (HP)
|
100% |
422010
542.5 IPS |
|
|
Style Transfer (Q)
|
98% |
193639
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42434
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57447
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32600
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4203
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4418
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2836
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
7060
121.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8320
143.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3000
56.3 IPS |
