GMKtec NucBox_EVO-X2
Geekbench AI Score
24738
Single Precision Score
35489
Half Precision Score
18879
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ishad0w |
| Upload Date | May 15 2025 07:39 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (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% |
12866
2.39 KIPS |
|
|
Image Classification (HP)
|
100% |
14108
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
11534
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22134
358.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17216
279.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18499
300.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
121151
141.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
281131
328.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
106839
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
7382
585.6 IPS |
|
|
Object Detection (HP)
|
100% |
13786
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
7146
574.0 IPS |
|
|
Face Detection (SP)
|
100% |
23922
284.2 IPS |
|
|
Face Detection (HP)
|
100% |
47795
567.9 IPS |
|
|
Face Detection (Q)
|
97% |
20260
241.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
47891
369.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74983
577.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
41146
330.0 IPS |
|
|
Style Transfer (SP)
|
100% |
224158
288.2 IPS |
|
|
Style Transfer (HP)
|
100% |
444783
571.8 IPS |
|
|
Style Transfer (Q)
|
98% |
189570
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44146
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58755
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33331
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4225
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4352
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2837
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
7038
121.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8261
142.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2364
44.3 IPS |
