GMKtec NucBox_EVO-X2
Geekbench AI Score
24021
Single Precision Score
31179
Half Precision Score
18420
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | manuelwesser |
| Upload Date | June 16 2025 10:34 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 | Ausbalanciert |
| 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% |
12622
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13997
2.60 KIPS |
|
|
Image Classification (Q)
|
100% |
11300
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21120
342.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15774
255.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17268
280.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
130232
152.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
170755
199.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
103047
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
6750
535.4 IPS |
|
|
Object Detection (HP)
|
100% |
13536
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
6320
507.6 IPS |
|
|
Face Detection (SP)
|
100% |
22734
270.1 IPS |
|
|
Face Detection (HP)
|
100% |
44040
523.3 IPS |
|
|
Face Detection (Q)
|
97% |
21152
252.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
45805
352.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66976
516.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
34678
278.1 IPS |
|
|
Style Transfer (SP)
|
100% |
228558
293.8 IPS |
|
|
Style Transfer (HP)
|
100% |
351601
452.0 IPS |
|
|
Style Transfer (Q)
|
98% |
188244
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40924
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49421
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31889
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2844
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6964
120.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7894
136.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2827
53.0 IPS |
