ASRock B850M Pro RS
Geekbench AI Score
13344
Single Precision Score
14119
Half Precision Score
10082
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 08:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| 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% |
5750
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5596
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
4948
923.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9217
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16175
262.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8198
133.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84541
98.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
83733
97.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67820
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
7465
592.1 IPS |
|
|
Object Detection (HP)
|
99% |
7862
625.4 IPS |
|
|
Object Detection (Q)
|
85% |
6326
509.1 IPS |
|
|
Face Detection (SP)
|
100% |
20968
249.1 IPS |
|
|
Face Detection (HP)
|
100% |
21409
254.4 IPS |
|
|
Face Detection (Q)
|
97% |
16163
192.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30439
234.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
30305
234.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
24186
193.6 IPS |
|
|
Style Transfer (SP)
|
100% |
183238
235.6 IPS |
|
|
Style Transfer (HP)
|
100% |
171848
220.9 IPS |
|
|
Style Transfer (Q)
|
98% |
135860
175.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17915
661.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24091
889.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12997
481.3 IPS |
|
|
Text Classification (SP)
|
86% |
849
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
749
999.7 IPS |
|
|
Text Classification (Q)
|
84% |
653
886.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3010
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2627
45.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1384
26.0 IPS |
