ASRock X870 Pro RS
Geekbench AI Score
6998
Single Precision Score
2608
Half Precision Score
10147
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CtrlWater |
| Upload Date | May 01 2025 04:52 AM |
| Views | 7 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4925
915.9 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.9 IPS |
|
|
Image Classification (Q)
|
99% |
11895
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2705
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4134
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23140
27.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14163
16.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
79329
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
4955
393.0 IPS |
|
|
Object Detection (HP)
|
100% |
1008
79.9 IPS |
|
|
Object Detection (Q)
|
86% |
11385
915.0 IPS |
|
|
Face Detection (SP)
|
100% |
9239
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
2310
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
13651
162.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17116
131.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3816
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
30993
247.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40066
51.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34850
44.8 IPS |
|
|
Style Transfer (Q)
|
98% |
43725
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6332
234.5 IPS |
|
|
Text Classification (SP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
513
686.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4336
87.1 IPS |
