X570S PG Riptide
Geekbench AI Score
3476
Single Precision Score
1543
Half Precision Score
3684
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | scrimshaw |
| Upload Date | December 01 2024 11:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570S PG Riptide |
| Motherboard | ASRock X570S PG Riptide |
| Power Plan | High 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1663
309.3 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
96% |
3515
656.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2520
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6717
7.84 IPS |
|
|
Pose Estimation (Q)
|
87% |
17621
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.3 IPS |
|
|
Object Detection (HP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (Q)
|
86% |
1908
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (Q)
|
96% |
4213
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7891
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2338
18.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7273
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20221
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17341
22.3 IPS |
|
|
Style Transfer (Q)
|
87% |
17516
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2485
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3155
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
583
777.5 IPS |
|
|
Text Classification (Q)
|
97% |
401
536.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2283
50.9 IPS |
