ASRock X870 Pro RS
Geekbench AI Score
7669
Single Precision Score
2669
Half Precision Score
12989
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CtrlWater |
| Upload Date | June 05 2025 12:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870 Pro RS |
| Motherboard | ASRock X870 Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5342
993.5 IPS |
|
|
Image Classification (HP)
|
100% |
817
151.9 IPS |
|
|
Image Classification (Q)
|
99% |
14301
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4571
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23086
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14951
17.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
79548
93.3 IPS |
|
|
Object Detection (SP)
|
100% |
5414
429.5 IPS |
|
|
Object Detection (HP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (Q)
|
86% |
13978
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
10111
120.1 IPS |
|
|
Face Detection (HP)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
15826
188.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20115
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4101
31.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
30199
241.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44879
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34608
44.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52922
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4582
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6383
236.4 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1878
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
6205
124.7 IPS |
