B550M-ITX/ac
Geekbench AI Score
3887
Single Precision Score
1571
Half Precision Score
5098
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | angelpradomx |
| Upload Date | June 01 2025 03:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M-ITX/ac |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3063
569.6 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.9 IPS |
|
|
Image Classification (Q)
|
96% |
4786
893.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2693
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5266
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4529
5.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
11300
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2956
234.5 IPS |
|
|
Object Detection (HP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (Q)
|
58% |
3435
375.4 IPS |
|
|
Face Detection (SP)
|
100% |
7561
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (Q)
|
96% |
8160
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6889
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2259
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12359
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14612
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11263
14.5 IPS |
|
|
Style Transfer (Q)
|
87% |
15600
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3075
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
1532
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
723
965.1 IPS |
|
|
Text Classification (Q)
|
97% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2701
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3410
65.9 IPS |
