AB350 Pro4
Geekbench AI Score
5690
Single Precision Score
5734
Half Precision Score
7894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | April 24 2025 04:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (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% |
3438
639.3 IPS |
|
|
Image Classification (HP)
|
100% |
3450
641.5 IPS |
|
|
Image Classification (Q)
|
100% |
5081
944.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4127
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6240
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6635
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
13688
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (HP)
|
100% |
3419
271.2 IPS |
|
|
Object Detection (Q)
|
87% |
5303
425.3 IPS |
|
|
Face Detection (SP)
|
100% |
10662
126.7 IPS |
|
|
Face Detection (HP)
|
100% |
10913
129.7 IPS |
|
|
Face Detection (Q)
|
97% |
15808
188.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8703
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8705
67.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
14928
117.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19274
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19669
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38779
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7844
290.6 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (Q)
|
91% |
1116
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5092
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5116
88.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5102
87.9 IPS |
