ASRock X870 Pro RS
Geekbench AI Score
7490
Single Precision Score
2634
Half Precision Score
10460
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CtrlWater |
| Upload Date | May 03 2025 05:12 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% |
4916
914.2 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.5 IPS |
|
|
Image Classification (Q)
|
99% |
12681
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4371
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25152
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14398
16.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
81021
95.0 IPS |
|
|
Object Detection (SP)
|
100% |
5316
421.6 IPS |
|
|
Object Detection (HP)
|
100% |
1038
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
11664
937.4 IPS |
|
|
Face Detection (SP)
|
100% |
9325
110.8 IPS |
|
|
Face Detection (HP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
14431
172.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18217
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3913
30.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
28662
228.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44799
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34378
44.2 IPS |
|
|
Style Transfer (Q)
|
98% |
44061
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4461
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3413
126.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6214
230.1 IPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
530
709.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4988
100.2 IPS |
