ASUS System Product Name
Geekbench AI Score
3907
Single Precision Score
3899
Half Precision Score
6075
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rit001 |
| Upload Date | August 21 2024 04:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (HP)
|
100% |
2588
481.3 IPS |
|
|
Image Classification (Q)
|
100% |
3987
741.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3679
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4755
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4732
5.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
9894
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (Q)
|
87% |
4162
333.8 IPS |
|
|
Face Detection (SP)
|
100% |
5613
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
5675
67.4 IPS |
|
|
Face Detection (Q)
|
97% |
11921
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6400
49.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
6239
48.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
11350
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14282
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14159
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28900
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2949
108.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5972
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (Q)
|
91% |
1573
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3806
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (Q)
|
90% |
3087
53.6 IPS |
