GMKtec NucBox_EVO-X2
Geekbench AI Score
6146
Single Precision Score
6273
Half Precision Score
17334
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-X2 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Zrwnowaony |
| 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% |
3812
709.0 IPS |
|
|
Image Classification (HP)
|
100% |
3636
676.1 IPS |
|
|
Image Classification (Q)
|
100% |
14548
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3903
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5314
86.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12322
199.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9418
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
34761
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3934
312.0 IPS |
|
|
Object Detection (HP)
|
100% |
3592
284.9 IPS |
|
|
Object Detection (Q)
|
88% |
9996
801.3 IPS |
|
|
Face Detection (SP)
|
100% |
8846
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
9000
106.9 IPS |
|
|
Face Detection (Q)
|
100% |
32792
389.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8981
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11117
85.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
27421
213.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24372
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23720
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
63174
81.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4124
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4029
148.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15012
556.0 IPS |
|
|
Text Classification (SP)
|
100% |
3931
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (Q)
|
92% |
6793
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4445
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6791
117.0 IPS |
