GMKtec NucBox_EVO-X2
Geekbench AI Score
6703
Single Precision Score
6573
Half Precision Score
18214
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yas0083 |
| Upload Date | July 19 2025 07:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| 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% |
4086
759.9 IPS |
|
|
Image Classification (HP)
|
100% |
4306
800.8 IPS |
|
|
Image Classification (Q)
|
100% |
12680
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5061
82.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9948
161.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8783
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8992
10.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
40079
46.9 IPS |
|
|
Object Detection (SP)
|
100% |
3861
306.2 IPS |
|
|
Object Detection (HP)
|
100% |
4243
336.6 IPS |
|
|
Object Detection (Q)
|
88% |
11369
911.3 IPS |
|
|
Face Detection (SP)
|
100% |
10271
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
11401
135.5 IPS |
|
|
Face Detection (Q)
|
100% |
28544
339.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9083
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10027
77.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
37579
292.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21475
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21304
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
79235
102.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5781
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18022
667.4 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6432
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7100
122.3 IPS |
