GMKtec NucBox_EVO-X2
Geekbench AI Score
16369
Single Precision Score
20527
Half Precision Score
13867
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 07:18 PM |
| Views | 4 |
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 |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
6535
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
8246
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
6259
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6231
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6718
108.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6009
97.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
150601
175.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
286687
334.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
137241
160.8 IPS |
|
|
Object Detection (SP)
|
100% |
7131
565.7 IPS |
|
|
Object Detection (HP)
|
100% |
8471
672.0 IPS |
|
|
Object Detection (Q)
|
85% |
6369
512.3 IPS |
|
|
Face Detection (SP)
|
100% |
17004
202.0 IPS |
|
|
Face Detection (HP)
|
100% |
18634
221.4 IPS |
|
|
Face Detection (Q)
|
97% |
15887
189.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
54085
416.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
80273
620.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
44341
354.5 IPS |
|
|
Style Transfer (SP)
|
100% |
235491
302.7 IPS |
|
|
Style Transfer (HP)
|
100% |
402833
517.8 IPS |
|
|
Style Transfer (Q)
|
98% |
214228
276.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31970
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36645
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25436
941.9 IPS |
|
|
Text Classification (SP)
|
100% |
2711
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2679
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1707
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1221
22.9 IPS |
