GMKtec NucBox_EVO-X2
Geekbench AI Score
16222
Single Precision Score
20608
Half Precision Score
13731
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Ricochet |
| Upload Date | October 13 2025 08:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6517
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
7717
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
5573
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6275
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6797
110.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6064
98.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
150849
176.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
290832
339.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
138026
161.7 IPS |
|
|
Object Detection (SP)
|
100% |
6982
553.8 IPS |
|
|
Object Detection (HP)
|
100% |
8464
671.4 IPS |
|
|
Object Detection (Q)
|
85% |
6538
525.9 IPS |
|
|
Face Detection (SP)
|
100% |
16896
200.8 IPS |
|
|
Face Detection (HP)
|
100% |
19239
228.6 IPS |
|
|
Face Detection (Q)
|
97% |
15963
190.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
55033
424.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
79181
611.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
44536
356.1 IPS |
|
|
Style Transfer (SP)
|
100% |
235336
302.5 IPS |
|
|
Style Transfer (HP)
|
100% |
412904
530.8 IPS |
|
|
Style Transfer (Q)
|
98% |
214086
276.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30645
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35169
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24994
925.5 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
2973
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1214
22.8 IPS |
