To Be Filled By O.E.M. AB350 Pro4
Geekbench AI Score
6033
Single Precision Score
6040
Half Precision Score
8775
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | Spiike |
| Upload Date | April 21 2025 02:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | To Be Filled By O.E.M. AB350 Pro4 |
| Motherboard | ASRock AB350 Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.15 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3621
673.4 IPS |
|
|
Image Classification (HP)
|
100% |
3636
676.1 IPS |
|
|
Image Classification (Q)
|
100% |
5589
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4268
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4297
69.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6193
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6899
8.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
13962
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
3640
288.7 IPS |
|
|
Object Detection (HP)
|
100% |
3634
288.2 IPS |
|
|
Object Detection (Q)
|
87% |
5720
458.7 IPS |
|
|
Face Detection (SP)
|
100% |
11482
136.4 IPS |
|
|
Face Detection (HP)
|
100% |
11501
136.7 IPS |
|
|
Face Detection (Q)
|
97% |
16423
195.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9161
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9256
71.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
15889
125.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20105
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20146
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39232
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4197
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4244
156.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7970
295.2 IPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (Q)
|
91% |
2021
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
6045
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5917
101.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5945
102.4 IPS |
