ASUS System Product Name
Geekbench AI Score
3600
Single Precision Score
1663
Half Precision Score
5239
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2796
520.0 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (Q)
|
96% |
4317
806.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
5112
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4974
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4139
4.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
10013
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (Q)
|
58% |
3170
346.4 IPS |
|
|
Face Detection (SP)
|
100% |
5196
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (Q)
|
96% |
7882
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6537
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2209
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9537
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12359
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10344
13.3 IPS |
|
|
Style Transfer (Q)
|
87% |
13868
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2449
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3804
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1512
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3709
71.7 IPS |
