B450M-HDV R4.0
Geekbench AI Score
4640
Single Precision Score
4661
Half Precision Score
6964
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 07 2025 02:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | B450M-HDV R4.0 |
| Motherboard | ASRock B450M-HDV R4.0 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2885
536.5 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.0 IPS |
|
|
Image Classification (Q)
|
100% |
4323
804.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3387
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3433
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5188
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5357
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
11490
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2758
218.7 IPS |
|
|
Object Detection (HP)
|
100% |
2798
222.0 IPS |
|
|
Object Detection (Q)
|
87% |
4738
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
7029
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
7040
83.6 IPS |
|
|
Face Detection (Q)
|
97% |
12551
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6968
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7033
54.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
12599
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15871
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15956
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32646
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3353
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3349
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6667
247.0 IPS |
|
|
Text Classification (SP)
|
100% |
2654
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (Q)
|
91% |
1375
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4635
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4648
80.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4647
80.0 IPS |
