ASUS System Product Name
Geekbench AI Score
4026
Single Precision Score
4027
Half Precision Score
6601
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | stan115 |
| Upload Date | November 04 2024 10:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2725
506.8 IPS |
|
|
Image Classification (HP)
|
100% |
2741
509.7 IPS |
|
|
Image Classification (Q)
|
100% |
4253
790.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3935
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5245
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5243
6.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
11197
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.5 IPS |
|
|
Object Detection (HP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (Q)
|
87% |
4466
358.2 IPS |
|
|
Face Detection (SP)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (Q)
|
97% |
12480
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6960
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6993
53.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
11785
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15152
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15088
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31810
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3168
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6563
243.1 IPS |
|
|
Text Classification (SP)
|
100% |
1994
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2064
2.76 KIPS |
|
|
Text Classification (Q)
|
91% |
1544
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3961
68.2 IPS |
