ASUS ROG Strix B450-F Gaming II | AMD Ryzen 7-5800X System manufacturer System Product Name
Geekbench AI Score
3403
Single Precision Score
1609
Half Precision Score
4708
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Cyb0rgWren |
| Upload Date | August 29 2025 07:35 PM |
| Views | 15 |
| Notes | 16GB (8x2) Corsair Vengence LPX CMK16GX4M2E3200C16W @ 3600 Mhz XMP OC |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2520
468.6 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (Q)
|
96% |
5131
958.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
3572
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4600
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
11606
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
58% |
3020
330.0 IPS |
|
|
Face Detection (SP)
|
100% |
5028
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
1645
19.6 IPS |
|
|
Face Detection (Q)
|
96% |
8352
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6109
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2149
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10805
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12057
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10063
12.9 IPS |
|
|
Style Transfer (Q)
|
87% |
14463
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4471
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
1877
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
456
610.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2659
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3133
60.5 IPS |
