ASUS System Product Name
Geekbench AI Score
4676
Single Precision Score
4672
Half Precision Score
7432
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 11:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3170
589.5 IPS |
|
|
Image Classification (HP)
|
100% |
3173
590.2 IPS |
|
|
Image Classification (Q)
|
100% |
4696
873.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2597
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4416
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5659
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5640
6.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
11494
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2937
233.0 IPS |
|
|
Object Detection (HP)
|
100% |
2951
234.0 IPS |
|
|
Object Detection (Q)
|
87% |
4962
398.0 IPS |
|
|
Face Detection (SP)
|
100% |
6856
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (Q)
|
97% |
13971
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7359
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7381
56.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
13108
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16552
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16633
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32938
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3569
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3567
131.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6803
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
2580
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (Q)
|
91% |
2216
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4752
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4718
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4784
82.4 IPS |
