B550M-ITX/ac
Geekbench AI Score
3872
Single Precision Score
1654
Half Precision Score
5801
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kilio-silver |
| Upload Date | October 26 2025 02:23 PM |
| Views | 4 |
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% |
3258
605.8 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.6 IPS |
|
|
Image Classification (Q)
|
96% |
5061
945.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
5957
96.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5623
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4727
5.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
11857
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
3005
238.4 IPS |
|
|
Object Detection (HP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (Q)
|
58% |
3638
397.5 IPS |
|
|
Face Detection (SP)
|
100% |
5538
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (Q)
|
96% |
8419
100.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7901
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2250
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11523
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14514
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11429
14.7 IPS |
|
|
Style Transfer (Q)
|
87% |
15724
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2615
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2151
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4473
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1481
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2640
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3289
63.5 IPS |
