X570S PG Riptide
Geekbench AI Score
3860
Single Precision Score
1618
Half Precision Score
5624
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 12:57 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | X570S PG Riptide |
| Motherboard | ASRock X570S PG Riptide |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2916
542.4 IPS |
|
|
Image Classification (HP)
|
100% |
575
107.0 IPS |
|
|
Image Classification (Q)
|
96% |
5782
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
5544
90.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7520
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
5879
6.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
19677
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2928
232.2 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
58% |
4135
451.8 IPS |
|
|
Face Detection (SP)
|
100% |
6658
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
9585
114.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8725
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2297
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14915
119.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17313
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14657
18.8 IPS |
|
|
Style Transfer (Q)
|
87% |
22149
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3986
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.2 IPS |
|
|
Text Classification (Q)
|
97% |
398
533.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2418
46.7 IPS |
