Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
4995
Single Precision Score
5001
Half Precision Score
13806
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 12:41 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3414
635.0 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.2 IPS |
|
|
Image Classification (Q)
|
100% |
8601
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7548
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6917
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6942
8.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
27290
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2979
236.3 IPS |
|
|
Object Detection (HP)
|
100% |
3008
238.6 IPS |
|
|
Object Detection (Q)
|
88% |
9057
726.0 IPS |
|
|
Face Detection (SP)
|
100% |
7188
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
7222
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
22684
269.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8722
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8687
66.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24005
186.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18923
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18884
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
71118
91.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4087
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4090
151.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13776
510.2 IPS |
|
|
Text Classification (SP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (Q)
|
92% |
4842
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4622
79.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6071
104.6 IPS |
