X570S PG Riptide
Geekbench AI Score
3842
Single Precision Score
1590
Half Precision Score
5474
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 12:52 AM |
| Views | 12 |
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% |
2888
537.0 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
96% |
5619
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
5382
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7341
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5808
6.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
18985
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2908
230.7 IPS |
|
|
Object Detection (HP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (Q)
|
58% |
3989
435.8 IPS |
|
|
Face Detection (SP)
|
100% |
6767
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (Q)
|
96% |
9342
111.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8652
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2367
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14305
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17507
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14578
18.7 IPS |
|
|
Style Transfer (Q)
|
87% |
21982
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2165
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3720
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
692
924.0 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2366
45.7 IPS |
