GMKtec NucBox EVO-X1
Geekbench AI Score
9119
Single Precision Score
13295
Half Precision Score
6565
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | funskeen |
| Upload Date | February 19 2025 07:24 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
3636
676.3 IPS |
|
|
Image Classification (HP)
|
100% |
5935
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
3241
602.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4771
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5865
95.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3965
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
49985
58.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87651
102.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
35889
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (HP)
|
100% |
3926
311.4 IPS |
|
|
Object Detection (Q)
|
87% |
2412
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
7184
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
12001
142.6 IPS |
|
|
Face Detection (Q)
|
97% |
5948
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18972
146.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29455
226.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15224
122.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81018
104.2 IPS |
|
|
Style Transfer (HP)
|
100% |
131214
168.7 IPS |
|
|
Style Transfer (Q)
|
98% |
53401
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14942
551.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22228
820.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8205
303.8 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1945
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1733
32.5 IPS |
