GMKtec NucBox_EVO-X2
Geekbench AI Score
26311
Single Precision Score
35909
Half Precision Score
20469
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | October 22 2025 03:51 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12732
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
13757
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11220
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22663
367.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17721
287.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18961
308.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
133324
155.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
307262
358.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
115440
135.2 IPS |
|
|
Object Detection (SP)
|
100% |
7433
589.6 IPS |
|
|
Object Detection (HP)
|
100% |
13585
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7192
577.6 IPS |
|
|
Face Detection (SP)
|
100% |
31567
375.1 IPS |
|
|
Face Detection (HP)
|
100% |
48086
571.4 IPS |
|
|
Face Detection (Q)
|
97% |
25816
307.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
56422
434.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
73547
566.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
45648
366.1 IPS |
|
|
Style Transfer (SP)
|
100% |
239586
308.0 IPS |
|
|
Style Transfer (HP)
|
100% |
440943
566.8 IPS |
|
|
Style Transfer (Q)
|
98% |
204006
263.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42835
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60157
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33190
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4291
5.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4474
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2872
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
7091
122.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8348
143.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3190
59.8 IPS |
