ASRock X870 Pro RS
Geekbench AI Score
6926
Single Precision Score
2574
Half Precision Score
9740
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CtrlWater |
| Upload Date | May 02 2025 09:29 AM |
| Views | 4 |
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% |
4784
889.7 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (Q)
|
99% |
11227
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4364
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22411
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13917
16.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
76524
89.7 IPS |
|
|
Object Detection (SP)
|
100% |
4723
374.7 IPS |
|
|
Object Detection (HP)
|
100% |
1018
80.7 IPS |
|
|
Object Detection (Q)
|
86% |
10446
839.5 IPS |
|
|
Face Detection (SP)
|
100% |
7905
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
13705
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16811
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3939
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26205
209.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43304
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34266
44.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43629
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4275
157.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5827
215.8 IPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
532
713.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4042
81.2 IPS |
