GMKtec NucBox_EVO-X2
Geekbench AI Score
6484
Single Precision Score
6426
Half Precision Score
16621
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jsdoc |
| Upload Date | June 23 2025 04:47 AM |
| Views | 2 |
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% |
3462
643.8 IPS |
|
|
Image Classification (HP)
|
100% |
3803
707.2 IPS |
|
|
Image Classification (Q)
|
100% |
9904
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10611
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9100
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9150
10.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
32014
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3494
277.1 IPS |
|
|
Object Detection (HP)
|
100% |
4087
324.2 IPS |
|
|
Object Detection (Q)
|
88% |
10549
845.7 IPS |
|
|
Face Detection (SP)
|
100% |
10666
126.7 IPS |
|
|
Face Detection (HP)
|
100% |
9726
115.6 IPS |
|
|
Face Detection (Q)
|
100% |
27173
322.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10457
80.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9552
73.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23887
185.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22242
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23516
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
88650
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5227
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20163
746.7 IPS |
|
|
Text Classification (SP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4239
5.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5059
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5346
92.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7027
121.0 IPS |
