Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
4278
Single Precision Score
1896
Half Precision Score
7404
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 24 2025 11:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| 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 HPBSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3819
710.2 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (Q)
|
99% |
8651
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3900
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7537
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
6450
7.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
26455
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3380
268.1 IPS |
|
|
Object Detection (HP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
8247
662.8 IPS |
|
|
Face Detection (SP)
|
100% |
6861
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
1977
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
11249
134.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9878
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2876
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7950
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17734
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15394
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30927
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2939
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3854
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
1988
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2032
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3108
62.5 IPS |
