GMKtec NucBox_EVO-X2
Geekbench AI Score
26051
Single Precision Score
32378
Half Precision Score
20292
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SIGSTART |
| Upload Date | June 28 2025 08:59 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 |
| Power Plan | Balanced |
| 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% |
12544
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
13719
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
11119
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22516
365.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16767
271.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18945
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
129248
150.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
202496
236.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
110821
129.8 IPS |
|
|
Object Detection (SP)
|
100% |
7272
576.8 IPS |
|
|
Object Detection (HP)
|
100% |
13645
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
7030
564.6 IPS |
|
|
Face Detection (SP)
|
100% |
29958
356.0 IPS |
|
|
Face Detection (HP)
|
100% |
44368
527.2 IPS |
|
|
Face Detection (Q)
|
97% |
24373
290.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54725
421.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
68037
524.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
44769
359.0 IPS |
|
|
Style Transfer (SP)
|
100% |
241525
310.5 IPS |
|
|
Style Transfer (HP)
|
100% |
373061
479.6 IPS |
|
|
Style Transfer (Q)
|
98% |
202290
260.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43106
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49593
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33248
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4374
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4321
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2874
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
7266
125.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8256
142.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3420
64.1 IPS |
