Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
6487
Single Precision Score
6494
Half Precision Score
18015
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kazk |
| Upload Date | April 27 2025 01:55 AM |
| Views | 19 |
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% |
4172
775.8 IPS |
|
|
Image Classification (HP)
|
100% |
4158
773.2 IPS |
|
|
Image Classification (Q)
|
100% |
11689
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4773
77.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4727
76.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12834
208.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8144
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
8168
9.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
32223
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3667
290.8 IPS |
|
|
Object Detection (HP)
|
100% |
3647
289.3 IPS |
|
|
Object Detection (Q)
|
88% |
12056
966.4 IPS |
|
|
Face Detection (SP)
|
100% |
8409
99.9 IPS |
|
|
Face Detection (HP)
|
100% |
8393
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
28265
335.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9904
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10021
77.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30267
235.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22371
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22711
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85682
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4903
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16529
612.1 IPS |
|
|
Text Classification (SP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
92% |
6108
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6057
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5994
103.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8350
143.8 IPS |
