GMKtec NucBox_EVO-X2
Geekbench AI Score
24807
Single Precision Score
34995
Half Precision Score
20778
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:57 PM |
| Views | 3 |
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 | Zrwnowaony |
| 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% |
12695
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
13461
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
11493
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14038
227.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16790
272.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18899
307.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
126566
147.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
297143
346.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
108511
127.1 IPS |
|
|
Object Detection (SP)
|
100% |
7436
589.8 IPS |
|
|
Object Detection (HP)
|
100% |
13613
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7219
579.7 IPS |
|
|
Face Detection (SP)
|
100% |
31134
369.9 IPS |
|
|
Face Detection (HP)
|
100% |
46881
557.1 IPS |
|
|
Face Detection (Q)
|
97% |
25479
303.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
55955
431.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74601
574.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
46603
373.7 IPS |
|
|
Style Transfer (SP)
|
100% |
241172
310.0 IPS |
|
|
Style Transfer (HP)
|
100% |
436404
561.0 IPS |
|
|
Style Transfer (Q)
|
98% |
206406
266.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42367
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57580
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34625
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4250
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4320
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
3045
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6956
119.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7937
136.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3412
64.0 IPS |
