Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
4984
Single Precision Score
5113
Half Precision Score
15434
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | October 28 2024 02:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M 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 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% |
1793
333.4 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (Q)
|
100% |
9106
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7639
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7698
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
7853
9.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
31885
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3359
266.4 IPS |
|
|
Object Detection (HP)
|
100% |
3385
268.5 IPS |
|
|
Object Detection (Q)
|
88% |
10837
868.7 IPS |
|
|
Face Detection (SP)
|
100% |
7176
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
7374
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
25919
308.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9569
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8749
67.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
28071
218.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21872
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22025
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
83578
107.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16268
602.5 IPS |
|
|
Text Classification (SP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3982
5.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5693
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4457
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4889
84.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5668
97.6 IPS |
