GMKtec NucBox EVO-X1
Geekbench AI Score
8199
Single Precision Score
14180
Half Precision Score
6149
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 07:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| 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% |
2244
417.3 IPS |
|
|
Image Classification (HP)
|
100% |
5812
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
2358
438.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4588
74.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5475
88.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4032
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
49512
57.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106787
124.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
36253
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
4574
362.8 IPS |
|
|
Object Detection (Q)
|
87% |
2085
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
7236
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
12493
148.4 IPS |
|
|
Face Detection (Q)
|
97% |
5993
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19078
147.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35220
271.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
15964
128.0 IPS |
|
|
Style Transfer (SP)
|
100% |
88192
113.4 IPS |
|
|
Style Transfer (HP)
|
100% |
145307
186.8 IPS |
|
|
Style Transfer (Q)
|
98% |
57954
74.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14687
542.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30164
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7755
287.2 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1893
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1323
24.8 IPS |
