Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
5302
Single Precision Score
5304
Half Precision Score
13178
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Fonsecas2 |
| Upload Date | February 03 2025 10:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 | Equilibrado |
| 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% |
2869
533.5 IPS |
|
|
Image Classification (HP)
|
100% |
2753
512.0 IPS |
|
|
Image Classification (Q)
|
100% |
8087
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3849
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3899
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10120
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8068
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
8087
9.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
31560
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
2989
237.1 IPS |
|
|
Object Detection (HP)
|
100% |
3028
240.2 IPS |
|
|
Object Detection (Q)
|
88% |
7663
614.3 IPS |
|
|
Face Detection (SP)
|
100% |
8337
99.1 IPS |
|
|
Face Detection (HP)
|
100% |
8362
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
21793
258.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8724
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8769
67.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
22003
171.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21641
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21604
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
80755
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14120
522.9 IPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3183
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4586
79.0 IPS |
