X570S PG Riptide
Geekbench AI Score
6951
Single Precision Score
6836
Half Precision Score
9083
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:04 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
4154
772.5 IPS |
|
|
Image Classification (HP)
|
100% |
4328
804.9 IPS |
|
|
Image Classification (Q)
|
100% |
5973
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6265
101.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5967
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10092
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8196
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
8173
9.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
27153
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
4675
370.8 IPS |
|
|
Object Detection (HP)
|
100% |
4614
366.0 IPS |
|
|
Object Detection (Q)
|
87% |
7105
569.8 IPS |
|
|
Face Detection (SP)
|
100% |
10376
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
10262
121.9 IPS |
|
|
Face Detection (Q)
|
97% |
21229
253.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11206
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11258
86.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
22410
176.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34245
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35441
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
74616
96.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7071
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7072
261.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12777
473.3 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (Q)
|
91% |
277
372.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2618
45.1 IPS |
