GMKtec NucBox_EVO-X2
Geekbench AI Score
25477
Single Precision Score
32036
Half Precision Score
19969
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | wpopelier |
| Upload Date | August 19 2025 02:19 AM |
| Views | 5 |
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 | 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% |
12462
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
13625
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
11361
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21766
352.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16811
272.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17935
291.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
125320
146.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
197421
230.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
105688
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
7301
579.1 IPS |
|
|
Object Detection (HP)
|
100% |
13487
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
7026
564.3 IPS |
|
|
Face Detection (SP)
|
100% |
29747
353.5 IPS |
|
|
Face Detection (HP)
|
100% |
45224
537.4 IPS |
|
|
Face Detection (Q)
|
97% |
25050
298.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53569
412.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
68040
524.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
44918
360.2 IPS |
|
|
Style Transfer (SP)
|
100% |
232462
298.8 IPS |
|
|
Style Transfer (HP)
|
100% |
356026
457.7 IPS |
|
|
Style Transfer (Q)
|
98% |
198728
256.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42025
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49077
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33003
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4214
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4301
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2831
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
7078
121.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8076
139.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3191
59.9 IPS |
