GMKtec NucBox_EVO-X2
Geekbench AI Score
26819
Single Precision Score
38038
Half Precision Score
21073
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 09:37 PM |
| 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 |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12557
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
13209
2.46 KIPS |
|
|
Image Classification (Q)
|
100% |
11404
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23518
381.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
32917
533.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20237
329.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
129984
151.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
294524
343.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
110239
129.1 IPS |
|
|
Object Detection (SP)
|
100% |
7350
583.0 IPS |
|
|
Object Detection (HP)
|
100% |
13770
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
7136
573.1 IPS |
|
|
Face Detection (SP)
|
100% |
31496
374.2 IPS |
|
|
Face Detection (HP)
|
100% |
47391
563.1 IPS |
|
|
Face Detection (Q)
|
97% |
25988
309.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
55982
431.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74705
575.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
45675
366.3 IPS |
|
|
Style Transfer (SP)
|
100% |
236900
304.5 IPS |
|
|
Style Transfer (HP)
|
100% |
432637
556.2 IPS |
|
|
Style Transfer (Q)
|
98% |
198657
256.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44931
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59631
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33662
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4377
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4514
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
3144
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
8306
143.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8724
150.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3813
71.5 IPS |
