ASUS System Product Name
Geekbench AI Score
2109
Single Precision Score
1118
Half Precision Score
3271
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 02:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450M-PRO II |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
96% |
2938
548.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2499
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3163
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2802
3.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
7842
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
58% |
2097
229.1 IPS |
|
|
Face Detection (SP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
5888
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4169
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1608
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7319
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7742
9.95 IPS |
|
|
Style Transfer (HP)
|
100% |
6379
8.20 IPS |
|
|
Style Transfer (Q)
|
87% |
11244
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1312
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3013
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
391
523.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2035
39.3 IPS |
