GMKtec NucBox_EVO-X2
Geekbench AI Score
5356
Single Precision Score
5423
Half Precision Score
13613
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 03 2026 08:27 PM |
| Views | 6 |
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 | 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3290
611.9 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.6 IPS |
|
|
Image Classification (Q)
|
100% |
8290
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3342
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3358
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5728
92.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8004
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
8653
10.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
27856
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3420
271.3 IPS |
|
|
Object Detection (HP)
|
100% |
3507
278.2 IPS |
|
|
Object Detection (Q)
|
88% |
11800
945.9 IPS |
|
|
Face Detection (SP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
7781
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
19587
232.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9032
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8561
66.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
25397
197.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21579
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20990
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
76632
98.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13167
487.6 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4515
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6182
106.5 IPS |
