GMKtec NucBox_EVO-X2
Geekbench AI Score
6660
Single Precision Score
6494
Half Precision Score
17365
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Marina |
| Upload Date | November 15 2025 01:46 PM |
| 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% |
4350
808.9 IPS |
|
|
Image Classification (HP)
|
100% |
3973
738.8 IPS |
|
|
Image Classification (Q)
|
100% |
12910
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3891
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4371
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9246
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9358
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9396
11.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
32897
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
3953
313.5 IPS |
|
|
Object Detection (HP)
|
100% |
3644
289.0 IPS |
|
|
Object Detection (Q)
|
88% |
11401
913.9 IPS |
|
|
Face Detection (SP)
|
100% |
10537
125.2 IPS |
|
|
Face Detection (HP)
|
100% |
10245
121.7 IPS |
|
|
Face Detection (Q)
|
100% |
27820
330.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10912
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10731
82.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32841
255.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24371
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25695
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
91260
117.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4670
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16319
604.4 IPS |
|
|
Text Classification (SP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
92% |
5592
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4465
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7323
126.1 IPS |
