X570S PG Riptide
Geekbench AI Score
18684
Single Precision Score
30121
Half Precision Score
11864
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | scrimshaw |
| Upload Date | December 01 2024 11:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| 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% |
7467
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
11276
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
5157
959.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
12312
199.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18292
296.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9768
158.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
109235
127.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
305215
356.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
88369
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
9427
747.7 IPS |
|
|
Object Detection (HP)
|
100% |
14639
1.16 KIPS |
|
|
Object Detection (Q)
|
88% |
6394
512.8 IPS |
|
|
Face Detection (SP)
|
100% |
20198
240.0 IPS |
|
|
Face Detection (HP)
|
100% |
31638
375.9 IPS |
|
|
Face Detection (Q)
|
97% |
14830
176.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
43982
338.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
82678
637.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
28523
229.8 IPS |
|
|
Style Transfer (SP)
|
100% |
182827
235.0 IPS |
|
|
Style Transfer (HP)
|
100% |
451312
580.2 IPS |
|
|
Style Transfer (Q)
|
98% |
141185
182.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31809
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41848
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17835
660.4 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3558
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1429
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1276
28.5 IPS |
