Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
9310
Single Precision Score
14835
Half Precision Score
6900
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | manuelwesser |
| Upload Date | May 28 2025 07:47 PM |
| Views | 5 |
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 | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BNB |
| Power Plan | Ausbalanciert |
| 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% |
3537
657.8 IPS |
|
|
Image Classification (HP)
|
100% |
5346
994.1 IPS |
|
|
Image Classification (Q)
|
100% |
3197
594.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4975
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6509
105.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4010
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
49330
57.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
112229
131.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
35352
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
4220
334.7 IPS |
|
|
Object Detection (Q)
|
87% |
2606
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
7597
90.3 IPS |
|
|
Face Detection (HP)
|
100% |
14253
169.4 IPS |
|
|
Face Detection (Q)
|
97% |
6354
75.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21381
164.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33513
258.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
16305
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
82570
106.1 IPS |
|
|
Style Transfer (HP)
|
100% |
152685
196.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54822
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14082
520.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27104
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9463
350.4 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1870
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2063
38.7 IPS |
