X570S PG Riptide
Geekbench AI Score
4910
Single Precision Score
1920
Half Precision Score
7510
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Defapianoplayer |
| Upload Date | August 21 2025 11:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570S PG Riptide |
| Motherboard | ASRock X570S PG Riptide |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
96% |
6861
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
8987
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13345
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8701
10.2 IPS |
|
|
Pose Estimation (Q)
|
86% |
24244
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3885
308.2 IPS |
|
|
Object Detection (HP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (Q)
|
58% |
5395
589.5 IPS |
|
|
Face Detection (SP)
|
100% |
7098
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (Q)
|
96% |
10599
126.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11761
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2765
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18230
145.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25783
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23022
29.6 IPS |
|
|
Style Transfer (Q)
|
87% |
22546
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2665
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3990
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
1495
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
740
988.2 IPS |
|
|
Text Classification (Q)
|
97% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
68% |
3251
62.8 IPS |
