GMKtec NucBox EVO-X1
Geekbench AI Score
5393
Single Precision Score
5517
Half Precision Score
14314
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fchgds |
| Upload Date | December 02 2025 07:28 PM |
| Views | 6 |
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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3132
582.4 IPS |
|
|
Image Classification (HP)
|
100% |
2768
514.8 IPS |
|
|
Image Classification (Q)
|
100% |
9148
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3860
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4132
67.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11279
182.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7966
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
8301
9.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
28911
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
3229
256.1 IPS |
|
|
Object Detection (HP)
|
100% |
3277
259.9 IPS |
|
|
Object Detection (Q)
|
88% |
9456
758.0 IPS |
|
|
Face Detection (SP)
|
100% |
7869
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
8231
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
25983
308.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8606
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8673
66.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
21950
170.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19893
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21720
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75205
97.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4306
159.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13744
509.0 IPS |
|
|
Text Classification (SP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
3618
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4361
75.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6004
103.4 IPS |
