GMKtec NucBox_EVO-X2
Geekbench AI Score
24340
Single Precision Score
34167
Half Precision Score
20589
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 09:22 PM |
| Views | 2 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12156
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
13012
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11167
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14371
233.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17326
280.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18978
308.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
123850
144.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
281072
328.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
106768
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
7396
586.6 IPS |
|
|
Object Detection (HP)
|
100% |
12900
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
7245
581.9 IPS |
|
|
Face Detection (SP)
|
100% |
31289
371.8 IPS |
|
|
Face Detection (HP)
|
100% |
46851
556.7 IPS |
|
|
Face Detection (Q)
|
97% |
26003
310.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54354
418.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72940
562.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
45905
368.1 IPS |
|
|
Style Transfer (SP)
|
100% |
224672
288.8 IPS |
|
|
Style Transfer (HP)
|
100% |
404858
520.5 IPS |
|
|
Style Transfer (Q)
|
98% |
191807
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39085
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54892
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33613
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4097
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
97% |
3041
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
7456
128.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8229
141.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3569
66.9 IPS |
