Asus B550-F Gaming Wi-Fi II / 5900x / 6700XT / 32GB RAM ASUS System Product Name
Geekbench AI Score
6291
Single Precision Score
6333
Half Precision Score
8604
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Freakshow85 |
| Upload Date | January 01 2025 12:56 AM |
| Views | 1 |
| Notes | Asus B550-F Gaming Wi-Fi II Ryzen 9 5900x w/ Asus Performance Enhancement (PBO) + Curve Optimizer per core tune + Fuma 2 Rev B 2x16GB DDR4 3600 C16 Dual Rank RAM (G.Skill Ripjaws V) XFX Qick 319 6700XT 12GB |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3630
675.1 IPS |
|
|
Image Classification (HP)
|
100% |
3739
695.4 IPS |
|
|
Image Classification (Q)
|
100% |
5500
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4960
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4874
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7874
128.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9959
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10158
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
21901
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
3874
307.3 IPS |
|
|
Object Detection (HP)
|
100% |
3997
317.0 IPS |
|
|
Object Detection (Q)
|
87% |
6532
523.9 IPS |
|
|
Face Detection (SP)
|
100% |
9214
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
9686
115.1 IPS |
|
|
Face Detection (Q)
|
97% |
19147
228.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10306
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10098
77.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
19044
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28840
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29051
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59649
76.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11100
411.1 IPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2736
3.65 KIPS |
|
|
Text Classification (Q)
|
91% |
484
650.6 IPS |
|
|
Machine Translation (SP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3073
52.9 IPS |
