GMKtec NucBox_EVO-X2
Geekbench AI Score
24669
Single Precision Score
30731
Half Precision Score
19466
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | October 21 2025 03:05 AM |
| Views | 6 |
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% |
12384
2.30 KIPS |
|
|
Image Classification (HP)
|
100% |
13529
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11323
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21760
352.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16232
263.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17394
282.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
126323
147.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
197852
230.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
105777
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
6890
546.5 IPS |
|
|
Object Detection (HP)
|
100% |
12899
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
6781
544.6 IPS |
|
|
Face Detection (SP)
|
100% |
29267
347.8 IPS |
|
|
Face Detection (HP)
|
100% |
42995
510.9 IPS |
|
|
Face Detection (Q)
|
97% |
24487
292.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
52998
408.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
62269
479.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
41778
335.0 IPS |
|
|
Style Transfer (SP)
|
100% |
220983
284.1 IPS |
|
|
Style Transfer (HP)
|
100% |
358065
460.3 IPS |
|
|
Style Transfer (Q)
|
98% |
203370
262.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41657
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46285
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31279
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2659
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6326
109.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7677
132.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3196
60.0 IPS |
