Ryzen7-3700X OPEN vino B450 Steel Legend
Geekbench AI Score
3658
Single Precision Score
3617
Half Precision Score
3939
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | yuichan |
| Upload Date | August 27 2024 12:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | B450 Steel Legend |
| Motherboard | ASRock B450 Steel Legend |
| 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% |
2491
463.3 IPS |
|
|
Image Classification (HP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (Q)
|
100% |
2838
527.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2890
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6108
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6179
7.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
6885
8.08 IPS |
|
|
Object Detection (SP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (Q)
|
87% |
2808
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
5186
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
5084
60.4 IPS |
|
|
Face Detection (Q)
|
97% |
9026
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6667
51.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
6693
51.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
7520
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17658
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17343
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19498
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3482
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3319
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3877
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
91% |
709
952.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2601
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2441
42.1 IPS |
|
|
Machine Translation (Q)
|
90% |
1559
27.1 IPS |
