GMKtec NucBox_EVO-X2
Geekbench AI Score
6641
Single Precision Score
2511
Half Precision Score
11543
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 03 2025 07:39 AM |
| Views | 4 |
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 |
| Power Plan | Balanced |
| 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% |
5546
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
782
145.5 IPS |
|
|
Image Classification (Q)
|
99% |
12975
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16121
262.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15328
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11849
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
49363
57.9 IPS |
|
|
Object Detection (SP)
|
100% |
5639
447.3 IPS |
|
|
Object Detection (HP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (Q)
|
86% |
14196
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
11626
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
13438
160.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16312
125.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3104
23.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11768
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31289
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26696
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
50752
65.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4729
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1157
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4251
85.4 IPS |
