GMKtec NucBox EVO-X1
Geekbench AI Score
3285
Single Precision Score
1582
Half Precision Score
5925
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | etheus |
| Upload Date | February 21 2025 06:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
3105
577.5 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
99% |
5052
942.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3231
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8475
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6367
7.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
22223
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
86% |
5394
433.5 IPS |
|
|
Face Detection (SP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
8488
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7036
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2553
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11901
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15376
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16238
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27165
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2122
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3186
118.0 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
530
707.7 IPS |
|
|
Text Classification (Q)
|
97% |
1176
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2652
53.3 IPS |
