GMKtec NucBox_EVO-X2
Geekbench AI Score
24528
Single Precision Score
33366
Half Precision Score
19281
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 06:01 AM |
| Views | 2 |
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% |
12515
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
13533
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11137
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21040
341.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16860
273.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17856
290.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
119003
138.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
284370
331.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
108058
126.6 IPS |
|
|
Object Detection (SP)
|
100% |
7041
558.5 IPS |
|
|
Object Detection (HP)
|
100% |
13050
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
6847
549.9 IPS |
|
|
Face Detection (SP)
|
100% |
28997
344.5 IPS |
|
|
Face Detection (HP)
|
100% |
41846
497.2 IPS |
|
|
Face Detection (Q)
|
97% |
23989
286.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
52237
402.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
70743
545.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
44573
357.5 IPS |
|
|
Style Transfer (SP)
|
100% |
221064
284.2 IPS |
|
|
Style Transfer (HP)
|
100% |
412217
529.9 IPS |
|
|
Style Transfer (Q)
|
98% |
192338
248.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39301
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55781
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30193
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2680
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
6737
116.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7311
125.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2900
54.4 IPS |
