X570S PG Riptide
Geekbench AI Score
31697
Single Precision Score
53136
Half Precision Score
24132
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 12:59 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
12593
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
18028
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
11184
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23759
385.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
34023
551.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21102
343.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
173873
202.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
675862
788.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
156375
183.2 IPS |
|
|
Object Detection (SP)
|
100% |
16397
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
25240
2.00 KIPS |
|
|
Object Detection (Q)
|
86% |
13852
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
49346
586.3 IPS |
|
|
Face Detection (HP)
|
100% |
70686
839.9 IPS |
|
|
Face Detection (Q)
|
97% |
40743
485.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
84252
649.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
144139
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63038
503.4 IPS |
|
|
Style Transfer (SP)
|
100% |
311389
400.3 IPS |
|
|
Style Transfer (HP)
|
100% |
955591
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
260191
335.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43968
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70772
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34157
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2026
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6506
112.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2834
53.2 IPS |
