GMKtec NucBox_EVO-X2
Geekbench AI Score
25606
Single Precision Score
35326
Half Precision Score
19895
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Ricochet |
| Upload Date | May 26 2025 06:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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% |
12742
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
13765
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11429
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21867
354.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17336
281.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18211
296.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
128894
150.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
292576
341.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
108971
127.6 IPS |
|
|
Object Detection (SP)
|
100% |
7182
569.7 IPS |
|
|
Object Detection (HP)
|
100% |
13557
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
6946
557.8 IPS |
|
|
Face Detection (SP)
|
100% |
28700
341.0 IPS |
|
|
Face Detection (HP)
|
100% |
47468
564.0 IPS |
|
|
Face Detection (Q)
|
97% |
24346
290.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55096
424.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73569
566.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
44573
357.5 IPS |
|
|
Style Transfer (SP)
|
100% |
233334
300.0 IPS |
|
|
Style Transfer (HP)
|
100% |
428840
551.3 IPS |
|
|
Style Transfer (Q)
|
98% |
197233
254.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43055
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58225
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32464
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4232
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4414
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2843
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6989
120.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8308
143.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3123
58.6 IPS |
