X570S PG Riptide
Geekbench AI Score
4646
Single Precision Score
1610
Half Precision Score
6424
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Defapianoplayer |
| Upload Date | April 20 2025 09:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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 | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3338
620.8 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (Q)
|
96% |
6101
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
3325
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13215
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8186
9.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
23764
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
3858
306.0 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
58% |
4879
533.1 IPS |
|
|
Face Detection (SP)
|
100% |
7018
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (Q)
|
96% |
10252
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10270
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2267
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15988
127.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20135
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (Q)
|
87% |
21559
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2003
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3308
122.6 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
639
852.4 IPS |
|
|
Text Classification (Q)
|
97% |
1286
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3388
65.5 IPS |
