GMKtec NucBox EVO-X1
Geekbench AI Score
5456
Single Precision Score
5623
Half Precision Score
13862
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | funskeen |
| Upload Date | February 19 2025 07:27 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox EVO-X1 |
| Motherboard | GMKtec NucBox EVO-X1 |
| 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% |
3255
605.4 IPS |
|
|
Image Classification (HP)
|
100% |
3417
635.5 IPS |
|
|
Image Classification (Q)
|
100% |
8425
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3326
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3999
64.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10313
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8325
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
8355
9.75 IPS |
|
|
Pose Estimation (Q)
|
98% |
29195
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (HP)
|
100% |
3295
261.3 IPS |
|
|
Object Detection (Q)
|
88% |
9128
731.7 IPS |
|
|
Face Detection (SP)
|
100% |
8397
99.8 IPS |
|
|
Face Detection (HP)
|
100% |
8411
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
25349
301.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9225
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9121
70.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
23580
183.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20024
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21550
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
77284
99.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4427
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13985
517.9 IPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (Q)
|
92% |
3558
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4003
69.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4925
84.8 IPS |
