Asus B550-F Gaming Wi-Fi II / 5900x / 32GB RAM / 6700XT 12GB ASUS System Product Name
Geekbench AI Score
20398
Single Precision Score
21531
Half Precision Score
15731
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Freakshow85 |
| Upload Date | January 01 2025 01:03 AM |
| Views | 6 |
| 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 | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| 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% |
9070
1.69 KIPS |
|
|
Image Classification (HP)
|
100% |
6961
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
7566
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13729
222.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10534
170.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11261
183.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
119581
139.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
179396
209.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
100340
117.6 IPS |
|
|
Object Detection (SP)
|
100% |
9121
723.5 IPS |
|
|
Object Detection (HP)
|
100% |
7754
615.0 IPS |
|
|
Object Detection (Q)
|
87% |
7872
632.2 IPS |
|
|
Face Detection (SP)
|
100% |
27674
328.8 IPS |
|
|
Face Detection (HP)
|
100% |
30591
363.5 IPS |
|
|
Face Detection (Q)
|
97% |
21948
261.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
49937
384.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56554
435.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
37512
301.2 IPS |
|
|
Style Transfer (SP)
|
100% |
211123
271.4 IPS |
|
|
Style Transfer (HP)
|
100% |
262708
337.7 IPS |
|
|
Style Transfer (Q)
|
98% |
169831
219.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34199
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40079
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23904
885.1 IPS |
|
|
Text Classification (SP)
|
100% |
2065
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1629
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4457
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4624
79.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2534
47.5 IPS |
