ASUS System Product Name
Geekbench AI Score
2490
Single Precision Score
1193
Half Precision Score
4225
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 01:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| 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 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1829
340.2 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.5 IPS |
|
|
Image Classification (Q)
|
96% |
3626
677.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
4099
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3706
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
8195
9.69 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.7 IPS |
|
|
Object Detection (HP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
58% |
2540
277.5 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
6295
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5381
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1732
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7915
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9135
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7350
9.45 IPS |
|
|
Style Transfer (Q)
|
87% |
12978
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3284
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1240
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2229
43.1 IPS |
