X570S PG Riptide
Geekbench AI Score
7751
Single Precision Score
7734
Half Precision Score
9532
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Defapianoplayer |
| Upload Date | August 21 2025 11:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
4283
796.5 IPS |
|
|
Image Classification (HP)
|
100% |
4383
815.2 IPS |
|
|
Image Classification (Q)
|
100% |
6485
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6196
100.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6491
105.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10372
168.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14537
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14667
17.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
29576
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
5150
408.5 IPS |
|
|
Object Detection (HP)
|
100% |
5112
405.5 IPS |
|
|
Object Detection (Q)
|
87% |
7318
586.9 IPS |
|
|
Face Detection (SP)
|
100% |
9798
116.4 IPS |
|
|
Face Detection (HP)
|
100% |
11171
132.7 IPS |
|
|
Face Detection (Q)
|
97% |
22655
270.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13344
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12830
98.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
24039
189.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40744
52.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40462
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80008
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7638
282.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7646
282.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13191
488.6 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3128
4.18 KIPS |
|
|
Text Classification (Q)
|
91% |
279
374.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3052
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2590
44.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2655
45.7 IPS |
