ASUS System Product Name
Geekbench AI Score
3039
Single Precision Score
2648
Half Precision Score
3812
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 15 2024 07:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-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 (WI-FI) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
1864
346.6 IPS |
|
|
Image Classification (Q)
|
100% |
2678
498.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2860
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5554
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5552
6.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
6902
8.10 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (Q)
|
87% |
2702
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (Q)
|
97% |
8550
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5207
40.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
4988
38.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
7413
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15697
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15613
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19239
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2159
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3756
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
696
928.4 IPS |
|
|
Text Classification (Q)
|
91% |
696
935.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (Q)
|
90% |
1424
24.7 IPS |
