X570 PG Velocita
Geekbench AI Score
3013
Single Precision Score
3068
Half Precision Score
3860
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 07 2025 09:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 PG Velocita |
| Motherboard | ASRock X570 PG Velocita |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1860
345.8 IPS |
|
|
Image Classification (HP)
|
100% |
1838
341.8 IPS |
|
|
Image Classification (Q)
|
100% |
2573
478.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2913
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5520
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5205
6.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
6773
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (Q)
|
87% |
2670
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
4505
53.5 IPS |
|
|
Face Detection (Q)
|
97% |
8843
105.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5349
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5376
41.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
6082
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10887
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14334
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18788
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2958
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2845
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3733
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
1688
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (Q)
|
91% |
647
869.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2222
38.3 IPS |
