GMKtec NucBox_EVO-X2
Geekbench AI Score
6441
Single Precision Score
2367
Half Precision Score
11445
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yas0083 |
| Upload Date | July 19 2025 06:56 AM |
| Views | 2 |
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 |
| 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% |
5324
990.1 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (Q)
|
99% |
12841
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15467
251.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14459
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11159
13.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
46214
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
4977
394.8 IPS |
|
|
Object Detection (HP)
|
100% |
940
74.5 IPS |
|
|
Object Detection (Q)
|
86% |
13837
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
11754
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
1993
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
13236
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15639
120.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3160
24.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10921
87.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30061
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25579
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
49577
63.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4134
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3517
129.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4434
89.1 IPS |
