Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
6205
Single Precision Score
6344
Half Precision Score
16745
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 01:25 PM |
| Views | 3 |
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 | Ausbalanciert |
| 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% |
4057
754.5 IPS |
|
|
Image Classification (HP)
|
100% |
4049
752.9 IPS |
|
|
Image Classification (Q)
|
100% |
10514
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4071
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4614
74.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11004
178.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8063
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
8170
9.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
31468
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (HP)
|
100% |
3566
282.8 IPS |
|
|
Object Detection (Q)
|
88% |
10950
877.8 IPS |
|
|
Face Detection (SP)
|
100% |
8244
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
8223
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
26775
318.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9912
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9984
76.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
28457
221.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21982
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22253
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83054
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4724
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16265
602.4 IPS |
|
|
Text Classification (SP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6081
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5321
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5373
92.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6947
119.7 IPS |
