GMKtec NucBox_EVO-X2
Geekbench AI Score
24717
Single Precision Score
30963
Half Precision Score
19565
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ___ |
| Upload Date | June 10 2025 09:48 AM |
| Views | 7 |
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 |
| 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% |
12392
2.30 KIPS |
|
|
Image Classification (HP)
|
100% |
13368
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
10987
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21523
348.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16972
275.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18188
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
123634
144.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
188768
220.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
105849
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
6936
550.2 IPS |
|
|
Object Detection (HP)
|
100% |
12848
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
6820
547.7 IPS |
|
|
Face Detection (SP)
|
100% |
29898
355.3 IPS |
|
|
Face Detection (HP)
|
100% |
44189
525.1 IPS |
|
|
Face Detection (Q)
|
97% |
24878
296.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
52795
406.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
67003
516.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
44468
356.6 IPS |
|
|
Style Transfer (SP)
|
100% |
220549
283.5 IPS |
|
|
Style Transfer (HP)
|
100% |
332322
427.2 IPS |
|
|
Style Transfer (Q)
|
98% |
188165
242.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38752
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47390
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30563
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2698
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6935
119.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7796
134.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3320
62.3 IPS |
