GMKtec NucBox_EVO-X2
Geekbench AI Score
5907
Single Precision Score
5688
Half Precision Score
15624
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BennyDaBall |
| Upload Date | October 21 2025 03:11 AM |
| Views | 7 |
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 |
| 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% |
3808
708.1 IPS |
|
|
Image Classification (HP)
|
100% |
3113
578.9 IPS |
|
|
Image Classification (Q)
|
100% |
8785
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4341
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10839
175.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9093
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8962
10.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
31593
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3062
242.9 IPS |
|
|
Object Detection (HP)
|
100% |
3280
260.2 IPS |
|
|
Object Detection (Q)
|
88% |
12130
972.3 IPS |
|
|
Face Detection (SP)
|
100% |
7925
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
8762
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
23537
279.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7482
57.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
20578
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21907
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22113
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75796
97.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4413
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4172
154.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17432
645.6 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5508
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4745
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4264
73.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6743
116.2 IPS |
