GMKtec NucBox EVO-X1
Geekbench AI Score
5766
Single Precision Score
5726
Half Precision Score
14591
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vitorcalvi |
| Upload Date | March 06 2025 12:39 PM |
| 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 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3390
630.4 IPS |
|
|
Image Classification (HP)
|
100% |
3265
607.1 IPS |
|
|
Image Classification (Q)
|
100% |
8776
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4174
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4037
65.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10586
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8379
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
8402
9.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
31409
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3287
260.7 IPS |
|
|
Object Detection (HP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (Q)
|
88% |
9476
759.6 IPS |
|
|
Face Detection (SP)
|
100% |
8606
102.3 IPS |
|
|
Face Detection (HP)
|
100% |
8000
95.1 IPS |
|
|
Face Detection (Q)
|
100% |
27297
324.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9557
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9457
72.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24205
188.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22199
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22284
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82778
106.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4708
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15271
565.5 IPS |
|
|
Text Classification (SP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
3927
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4823
83.1 IPS |
