To Be Filled By O.E.M. X570M Pro4
Geekbench AI Score
3118
Single Precision Score
3128
Half Precision Score
3548
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | pmjbf |
| Upload Date | January 13 2025 11:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Forty) |
| Model | To Be Filled By O.E.M. X570M Pro4 |
| Motherboard | ASRock X570M Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.21 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1853
344.5 IPS |
|
|
Image Classification (HP)
|
100% |
1851
344.3 IPS |
|
|
Image Classification (Q)
|
100% |
2198
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2588
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4705
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4711
5.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
5184
6.08 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
1696
134.6 IPS |
|
|
Object Detection (Q)
|
87% |
2350
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3888
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (Q)
|
97% |
7158
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5284
40.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
6045
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13112
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13150
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14601
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2657
98.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2654
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3001
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (Q)
|
91% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2175
37.5 IPS |
