AB350 Pro4
Geekbench AI Score
5207
Single Precision Score
5409
Half Precision Score
7631
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | April 13 2025 08:11 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2662
495.1 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.4 IPS |
|
|
Image Classification (Q)
|
100% |
5030
935.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4097
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4010
65.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6151
100.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6099
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
12846
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
3190
253.1 IPS |
|
|
Object Detection (HP)
|
100% |
3252
257.9 IPS |
|
|
Object Detection (Q)
|
87% |
5071
406.7 IPS |
|
|
Face Detection (SP)
|
100% |
10395
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
10358
123.1 IPS |
|
|
Face Detection (Q)
|
97% |
15302
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7048
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8260
63.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
14598
115.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17996
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18112
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36557
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7612
282.0 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
1130
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4789
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4751
81.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4736
81.6 IPS |
