ASRock B850M Pro RS
Geekbench AI Score
6956
Single Precision Score
2768
Half Precision Score
11677
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 08:13 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASRock B850M Pro RS |
| Motherboard | ASRock B850M Pro RS |
| Power Plan | Bitsum Highest Performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4913
913.6 IPS |
|
|
Image Classification (HP)
|
100% |
864
160.8 IPS |
|
|
Image Classification (Q)
|
99% |
10954
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4257
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28326
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17420
20.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
81982
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
5357
424.9 IPS |
|
|
Object Detection (HP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (Q)
|
86% |
12633
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
9604
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
14702
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16463
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4348
33.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
28424
226.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33540
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29046
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
52545
67.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3599
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1844
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4837
97.2 IPS |
