ASRock X870 Pro RS
Geekbench AI Score
8137
Single Precision Score
2776
Half Precision Score
10714
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CtrlWater |
| Upload Date | May 10 2025 11:51 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5220
970.7 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
99% |
12070
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3407
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4485
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27773
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15618
18.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
79674
93.4 IPS |
|
|
Object Detection (SP)
|
100% |
5847
463.8 IPS |
|
|
Object Detection (HP)
|
100% |
1071
85.0 IPS |
|
|
Object Detection (Q)
|
86% |
12089
971.5 IPS |
|
|
Face Detection (SP)
|
100% |
10377
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
14526
173.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20076
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4279
33.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
32862
262.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50602
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36877
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54406
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6133
227.1 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
533
714.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4504
90.5 IPS |
