GMKtec NucBox_EVO-X2
Geekbench AI Score
6597
Single Precision Score
2423
Half Precision Score
11354
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bitbanger |
| Upload Date | December 22 2025 09:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6534
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
788
146.5 IPS |
|
|
Image Classification (Q)
|
99% |
12459
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16286
264.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14033
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10977
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
47124
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
4937
391.6 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
86% |
13398
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
12776
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
13387
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15325
118.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3148
24.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11902
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29670
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25383
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
48671
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4352
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3536
130.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1736
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4321
86.8 IPS |
