GMKtec NucBox_EVO-X2
Geekbench AI Score
24796
Single Precision Score
31408
Half Precision Score
19798
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yas0083 |
| Upload Date | July 19 2025 08:22 AM |
| Views | 6 |
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% |
12124
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
13503
2.51 KIPS |
|
|
Image Classification (Q)
|
100% |
11047
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22054
357.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17192
278.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18498
300.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
113206
132.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
188614
220.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
104892
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
7355
583.4 IPS |
|
|
Object Detection (HP)
|
100% |
13323
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
7008
562.9 IPS |
|
|
Face Detection (SP)
|
100% |
30629
363.9 IPS |
|
|
Face Detection (HP)
|
100% |
44750
531.7 IPS |
|
|
Face Detection (Q)
|
97% |
24909
297.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54018
416.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
68016
524.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
45266
363.0 IPS |
|
|
Style Transfer (SP)
|
100% |
222011
285.4 IPS |
|
|
Style Transfer (HP)
|
100% |
348705
448.3 IPS |
|
|
Style Transfer (Q)
|
98% |
191721
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39567
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46974
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31905
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2755
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6927
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8030
138.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3242
60.8 IPS |
