GMKtec NucBox_EVO-X2
Geekbench AI Score
6186
Single Precision Score
2245
Half Precision Score
10298
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SIGSTART |
| Upload Date | June 28 2025 08:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
4803
893.1 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.5 IPS |
|
|
Image Classification (Q)
|
99% |
13113
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3689
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15173
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11091
12.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
48853
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
5421
430.0 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (Q)
|
86% |
13707
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
11392
135.4 IPS |
|
|
Face Detection (HP)
|
100% |
1998
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
13833
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16226
125.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3138
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11561
92.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31257
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26757
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51679
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4448
164.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3285
121.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4902
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2006
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5098
102.4 IPS |
