AB350 Pro4
Geekbench AI Score
5635
Single Precision Score
5673
Half Precision Score
7806
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | April 14 2025 02:53 AM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (HP)
|
100% |
3463
644.0 IPS |
|
|
Image Classification (Q)
|
100% |
5026
934.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4150
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6200
100.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
6607
7.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
13401
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
3329
264.0 IPS |
|
|
Object Detection (HP)
|
100% |
3317
263.1 IPS |
|
|
Object Detection (Q)
|
87% |
5143
412.5 IPS |
|
|
Face Detection (SP)
|
100% |
10581
125.7 IPS |
|
|
Face Detection (HP)
|
100% |
10857
129.0 IPS |
|
|
Face Detection (Q)
|
97% |
15409
183.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8933
68.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
15004
118.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19343
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19542
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38114
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3985
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4071
150.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7721
286.0 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (Q)
|
91% |
1136
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5033
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5061
87.2 IPS |
