X570S PG Riptide
Geekbench AI Score
32265
Single Precision Score
37834
Half Precision Score
24766
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Defapianoplayer |
| Upload Date | August 21 2025 11:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| 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% |
13334
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
14009
2.61 KIPS |
|
|
Image Classification (Q)
|
99% |
10900
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23867
386.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20337
329.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20754
337.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
256092
298.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
458746
535.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
231470
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
15772
1.25 KIPS |
|
|
Object Detection (HP)
|
99% |
16759
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
13744
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
44772
532.0 IPS |
|
|
Face Detection (HP)
|
100% |
51453
611.4 IPS |
|
|
Face Detection (Q)
|
97% |
39293
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
71356
549.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87808
676.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
60829
487.5 IPS |
|
|
Style Transfer (SP)
|
100% |
431330
554.5 IPS |
|
|
Style Transfer (HP)
|
100% |
648022
833.0 IPS |
|
|
Style Transfer (Q)
|
98% |
371194
478.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45538
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59654
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33929
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1843
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4654
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4878
84.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2175
40.8 IPS |
