GMKtec NucBox_EVO-X2
Geekbench AI Score
6253
Single Precision Score
2216
Half Precision Score
10031
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | June 02 2025 06:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5375
999.6 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
99% |
12390
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3569
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14842
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11196
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
48457
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
4935
391.5 IPS |
|
|
Object Detection (HP)
|
100% |
869
69.0 IPS |
|
|
Object Detection (Q)
|
86% |
13356
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
12641
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
13776
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16196
124.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2918
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11466
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31175
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26130
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
53780
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4246
156.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3383
124.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4751
175.9 IPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1792
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4985
100.2 IPS |
