AB350M Pro4
Geekbench AI Score
5590
Single Precision Score
5642
Half Precision Score
7988
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 24 2024 02:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AB350M Pro4 |
| Motherboard | ASRock AB350M Pro4 |
| Power Plan | Tasakaalustatud |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| 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% |
3839
713.9 IPS |
|
|
Image Classification (HP)
|
100% |
3847
715.5 IPS |
|
|
Image Classification (Q)
|
100% |
5593
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3269
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5611
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7195
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
7178
8.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
14765
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
3747
297.2 IPS |
|
|
Object Detection (HP)
|
100% |
3770
299.1 IPS |
|
|
Object Detection (Q)
|
87% |
5695
456.8 IPS |
|
|
Face Detection (SP)
|
100% |
12371
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
12422
147.6 IPS |
|
|
Face Detection (Q)
|
97% |
16867
201.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9726
74.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
9489
73.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
16298
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21513
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21464
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41770
53.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4476
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8628
319.6 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1664
2.22 KIPS |
|
|
Text Classification (Q)
|
91% |
1410
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4991
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (Q)
|
90% |
2870
49.9 IPS |
