GMKtec NucBox_EVO-X2
Geekbench AI Score
26278
Single Precision Score
35531
Half Precision Score
20311
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | July 16 2025 06:44 PM |
| Views | 13 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12758
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
13849
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11447
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22604
366.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17070
276.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18564
301.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
132947
155.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
304313
355.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
114298
133.9 IPS |
|
|
Object Detection (SP)
|
100% |
7322
580.8 IPS |
|
|
Object Detection (HP)
|
100% |
13666
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7042
565.6 IPS |
|
|
Face Detection (SP)
|
100% |
30415
361.4 IPS |
|
|
Face Detection (HP)
|
100% |
46924
557.6 IPS |
|
|
Face Detection (Q)
|
97% |
24899
296.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
56049
431.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73983
570.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
45262
363.0 IPS |
|
|
Style Transfer (SP)
|
100% |
242360
311.6 IPS |
|
|
Style Transfer (HP)
|
100% |
443801
570.5 IPS |
|
|
Style Transfer (Q)
|
98% |
205720
265.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42624
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57647
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33422
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4442
5.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4533
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2887
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
7150
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8103
139.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3123
58.6 IPS |
