GMKtec NucBox_EVO-X2
Geekbench AI Score
24376
Single Precision Score
34738
Half Precision Score
20100
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | December 22 2025 09:44 PM |
| 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 |
| 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% |
12774
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
13601
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
11793
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14123
228.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16463
266.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17598
286.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
128671
150.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
291307
339.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
111229
130.3 IPS |
|
|
Object Detection (SP)
|
100% |
7071
560.9 IPS |
|
|
Object Detection (HP)
|
100% |
13594
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
5894
473.3 IPS |
|
|
Face Detection (SP)
|
100% |
28240
335.6 IPS |
|
|
Face Detection (HP)
|
100% |
47084
559.5 IPS |
|
|
Face Detection (Q)
|
97% |
24194
288.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
54198
417.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74027
570.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
44868
359.8 IPS |
|
|
Style Transfer (SP)
|
100% |
233106
299.7 IPS |
|
|
Style Transfer (HP)
|
100% |
423210
544.0 IPS |
|
|
Style Transfer (Q)
|
98% |
203800
262.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43888
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58670
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35455
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4217
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4348
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
3153
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6834
117.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7671
132.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3199
60.0 IPS |
