B550M-ITX/ac
Geekbench AI Score
3853
Single Precision Score
1650
Half Precision Score
5779
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kilio-silver |
| Upload Date | October 26 2025 02:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M-ITX/ac |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3078
572.5 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.2 IPS |
|
|
Image Classification (Q)
|
96% |
5123
956.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
5968
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5877
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4801
5.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
11900
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
3104
246.2 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
58% |
3578
391.0 IPS |
|
|
Face Detection (SP)
|
100% |
5777
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (Q)
|
96% |
8421
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7602
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2166
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11161
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14366
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11194
14.4 IPS |
|
|
Style Transfer (Q)
|
87% |
15842
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2575
95.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4429
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
1847
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
68% |
3248
62.8 IPS |
