Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
4990
Single Precision Score
5073
Half Precision Score
13886
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | September 12 2024 07:42 AM |
| 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% |
4012
746.2 IPS |
|
|
Image Classification (HP)
|
100% |
3982
740.4 IPS |
|
|
Image Classification (Q)
|
100% |
10470
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9398
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7084
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6968
8.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
29108
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2864
227.1 IPS |
|
|
Object Detection (HP)
|
100% |
2896
229.7 IPS |
|
|
Object Detection (Q)
|
88% |
8411
674.2 IPS |
|
|
Face Detection (SP)
|
100% |
7376
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
7365
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
20261
240.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7674
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8084
62.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
21756
169.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18702
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19218
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
75317
97.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3653
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14310
529.9 IPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (Q)
|
92% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3997
68.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4418
76.1 IPS |
