GMKtec NucBox_EVO-X2
Geekbench AI Score
25386
Single Precision Score
31893
Half Precision Score
19711
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Marina |
| Upload Date | June 26 2025 05:26 PM |
| Views | 8 |
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% |
12410
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13693
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
10961
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21773
353.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16866
273.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18344
298.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
126023
147.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
199954
233.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
112281
131.5 IPS |
|
|
Object Detection (SP)
|
100% |
7165
568.3 IPS |
|
|
Object Detection (HP)
|
100% |
13464
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
6961
559.0 IPS |
|
|
Face Detection (SP)
|
100% |
29815
354.3 IPS |
|
|
Face Detection (HP)
|
100% |
45603
541.9 IPS |
|
|
Face Detection (Q)
|
97% |
24194
288.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
54221
417.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67461
519.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
43707
350.5 IPS |
|
|
Style Transfer (SP)
|
100% |
235281
302.5 IPS |
|
|
Style Transfer (HP)
|
100% |
360170
463.0 IPS |
|
|
Style Transfer (Q)
|
98% |
199348
257.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41351
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48976
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31864
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4087
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2698
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
7089
122.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7878
135.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3110
58.3 IPS |
