ASRock B650M Pro X3D
Geekbench AI Score
6308
Single Precision Score
2460
Half Precision Score
11557
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 10:45 AM |
| Views | 5 |
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% |
4668
868.1 IPS |
|
|
Image Classification (HP)
|
100% |
826
153.6 IPS |
|
|
Image Classification (Q)
|
99% |
11938
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5158
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16306
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11986
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
66267
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
4930
391.1 IPS |
|
|
Object Detection (HP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (Q)
|
86% |
12700
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
8911
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
15174
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14909
114.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3716
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
25977
207.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28169
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23177
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38183
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4173
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3360
124.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4849
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2086
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5389
108.3 IPS |
