GMKtec NucBox_EVO-X2
Geekbench AI Score
6303
Single Precision Score
2300
Half Precision Score
11069
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
6440
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
723
134.5 IPS |
|
|
Image Classification (Q)
|
99% |
12217
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15878
258.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13682
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10513
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
44770
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
4884
387.4 IPS |
|
|
Object Detection (HP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
86% |
13451
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
11947
142.0 IPS |
|
|
Face Detection (HP)
|
100% |
2055
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
13082
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15190
117.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2971
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11034
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29074
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24700
31.8 IPS |
|
|
Style Transfer (Q)
|
98% |
49920
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4161
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3327
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4926
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1542
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4319
86.8 IPS |
