GMKtec NucBox_EVO-X2
Geekbench AI Score
6675
Single Precision Score
2531
Half Precision Score
11868
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 06:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
5367
998.2 IPS |
|
|
Image Classification (HP)
|
100% |
737
137.1 IPS |
|
|
Image Classification (Q)
|
99% |
12482
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16485
268.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15495
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11984
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
49689
58.3 IPS |
|
|
Object Detection (SP)
|
100% |
5428
430.6 IPS |
|
|
Object Detection (HP)
|
100% |
1038
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
13646
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
12430
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
13569
161.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16738
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3354
25.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12401
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32898
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27851
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51080
65.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5240
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1165
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1985
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4447
89.4 IPS |
