GMKtec NucBox_EVO-X2
Geekbench AI Score
25654
Single Precision Score
36767
Half Precision Score
19964
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jesse_elve |
| Upload Date | October 30 2025 03:24 PM |
| Views | 7 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12771
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
13597
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
11372
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22397
363.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
32020
519.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19321
314.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
115633
134.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
262338
306.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
99806
116.9 IPS |
|
|
Object Detection (SP)
|
100% |
7279
577.4 IPS |
|
|
Object Detection (HP)
|
100% |
13440
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
6955
558.6 IPS |
|
|
Face Detection (SP)
|
100% |
28730
341.4 IPS |
|
|
Face Detection (HP)
|
100% |
44518
529.0 IPS |
|
|
Face Detection (Q)
|
97% |
24318
289.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
53430
411.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
72584
559.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
44111
353.8 IPS |
|
|
Style Transfer (SP)
|
100% |
214589
275.9 IPS |
|
|
Style Transfer (HP)
|
100% |
396143
509.2 IPS |
|
|
Style Transfer (Q)
|
98% |
180970
233.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42499
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60058
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31863
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4561
6.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4388
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
3149
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
8032
138.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8718
150.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3387
63.5 IPS |
