GMKtec NucBox EVO-X1
Geekbench AI Score
5658
Single Precision Score
5593
Half Precision Score
14578
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (HP)
|
100% |
3266
607.4 IPS |
|
|
Image Classification (Q)
|
100% |
9610
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4063
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3958
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11043
179.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8283
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
8313
9.70 IPS |
|
|
Pose Estimation (Q)
|
98% |
29308
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3178
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (Q)
|
88% |
9722
779.3 IPS |
|
|
Face Detection (SP)
|
100% |
8084
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
8107
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
25502
303.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9144
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8907
68.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23870
185.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21860
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20642
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
76315
98.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4374
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14061
520.7 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
3736
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4434
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4512
77.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5878
101.3 IPS |
