AB350 Pro4
Geekbench AI Score
5719
Single Precision Score
5739
Half Precision Score
7893
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | April 20 2025 09:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | AB350 Pro4 |
| Motherboard | ASRock AB350 Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3454
642.4 IPS |
|
|
Image Classification (HP)
|
100% |
3443
640.3 IPS |
|
|
Image Classification (Q)
|
100% |
5066
942.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4187
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6201
100.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6610
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
6683
7.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
13743
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
3425
271.6 IPS |
|
|
Object Detection (HP)
|
100% |
3424
271.6 IPS |
|
|
Object Detection (Q)
|
87% |
5309
425.8 IPS |
|
|
Face Detection (SP)
|
100% |
10791
128.2 IPS |
|
|
Face Detection (HP)
|
100% |
10806
128.4 IPS |
|
|
Face Detection (Q)
|
97% |
15721
187.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8698
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8816
67.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
15084
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19624
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19521
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38943
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7834
290.2 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (Q)
|
91% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5102
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5115
88.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5116
88.1 IPS |
