ASUS System Product Name
Geekbench AI Score
3190
Single Precision Score
1501
Half Precision Score
4836
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yotsuya |
| Upload Date | August 13 2025 03:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2747
510.9 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.3 IPS |
|
|
Image Classification (Q)
|
96% |
4050
756.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
842
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
4696
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3550
4.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
8963
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (Q)
|
58% |
2899
316.8 IPS |
|
|
Face Detection (SP)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (Q)
|
96% |
7496
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5831
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1954
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8870
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10407
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8947
11.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12801
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3413
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1434
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2378
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
68% |
3405
65.8 IPS |
