AB350 Pro4
Geekbench AI Score
5663
Single Precision Score
5703
Half Precision Score
7826
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | April 16 2025 08:10 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 Home (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% |
3456
642.7 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.5 IPS |
|
|
Image Classification (Q)
|
100% |
5049
939.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4113
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4167
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6198
100.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6591
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
13623
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
3371
267.4 IPS |
|
|
Object Detection (HP)
|
100% |
3424
271.6 IPS |
|
|
Object Detection (Q)
|
87% |
5267
422.4 IPS |
|
|
Face Detection (SP)
|
100% |
10701
127.2 IPS |
|
|
Face Detection (HP)
|
100% |
10719
127.4 IPS |
|
|
Face Detection (Q)
|
97% |
15568
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8444
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8674
66.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
14979
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19521
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19464
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38585
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7789
288.5 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
91% |
1089
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5043
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5114
88.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5034
86.7 IPS |
