AB350M Pro4
Geekbench AI Score
5572
Single Precision Score
5607
Half Precision Score
7849
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 26 2024 04:00 PM |
| Views | 3 |
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% |
3853
716.6 IPS |
|
|
Image Classification (HP)
|
100% |
3886
722.6 IPS |
|
|
Image Classification (Q)
|
100% |
5603
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5634
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7181
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7256
8.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
14702
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
3720
295.0 IPS |
|
|
Object Detection (HP)
|
100% |
3743
296.9 IPS |
|
|
Object Detection (Q)
|
87% |
5658
453.8 IPS |
|
|
Face Detection (SP)
|
100% |
12285
146.0 IPS |
|
|
Face Detection (HP)
|
100% |
12377
147.1 IPS |
|
|
Face Detection (Q)
|
97% |
16945
202.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9714
74.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
9855
75.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
16462
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21540
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21475
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
42104
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4498
166.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8643
320.2 IPS |
|
|
Text Classification (SP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1683
2.25 KIPS |
|
|
Text Classification (Q)
|
91% |
1192
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5019
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5025
86.6 IPS |
|
|
Machine Translation (Q)
|
90% |
2794
48.5 IPS |
