AB350 Pro4
Geekbench AI Score
3997
Single Precision Score
3991
Half Precision Score
5177
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Dee_Ment |
| Upload Date | January 22 2025 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | AB350 Pro4 |
| Motherboard | ASRock AB350 Pro4 |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
2057
382.5 IPS |
|
|
Image Classification (Q)
|
100% |
3571
664.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5375
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9293
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9100
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
13327
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (Q)
|
87% |
3876
310.9 IPS |
|
|
Face Detection (SP)
|
100% |
5329
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
5389
64.0 IPS |
|
|
Face Detection (Q)
|
97% |
13420
160.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6786
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6706
51.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
12178
96.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24796
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25550
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37014
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6560
243.0 IPS |
|
|
Text Classification (SP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (Q)
|
91% |
202
271.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1741
30.0 IPS |
