GMKtec NucBox EVO-X1
Geekbench AI Score
8136
Single Precision Score
11603
Half Precision Score
6319
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tuldok89 |
| Upload Date | January 28 2025 08:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
2757
512.6 IPS |
|
|
Image Classification (HP)
|
100% |
4886
908.6 IPS |
|
|
Image Classification (Q)
|
100% |
2816
523.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4508
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5613
91.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3770
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46035
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69672
81.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32530
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
3870
306.9 IPS |
|
|
Object Detection (Q)
|
87% |
2330
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
6911
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
11506
136.7 IPS |
|
|
Face Detection (Q)
|
97% |
5768
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19972
153.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
29005
223.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15407
123.6 IPS |
|
|
Style Transfer (SP)
|
100% |
69945
89.9 IPS |
|
|
Style Transfer (HP)
|
100% |
110064
141.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52170
67.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13196
487.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19778
730.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9015
333.8 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1825
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1656
31.1 IPS |
