ASRock B650M Pro X3D
Geekbench AI Score
6170
Single Precision Score
2453
Half Precision Score
10898
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 02:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650M Pro X3D |
| Motherboard | ASRock B650M Pro X3D |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4543
844.9 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.8 IPS |
|
|
Image Classification (Q)
|
99% |
10854
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4079
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13287
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10175
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
44412
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
4471
354.7 IPS |
|
|
Object Detection (HP)
|
100% |
848
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
10845
871.6 IPS |
|
|
Face Detection (SP)
|
100% |
7420
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
14766
176.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15926
122.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3787
29.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
27045
215.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33629
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26869
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42310
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5802
214.9 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3996
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5286
106.2 IPS |
