To Be Filled By O.E.M. AB350 Pro4
Geekbench AI Score
6058
Single Precision Score
6060
Half Precision Score
8785
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Spiike |
| Upload Date | April 21 2025 02:18 PM |
| Views | 13 |
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% |
3608
671.0 IPS |
|
|
Image Classification (HP)
|
100% |
3627
674.5 IPS |
|
|
Image Classification (Q)
|
100% |
5590
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4282
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4374
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6228
101.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
13877
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
3637
288.5 IPS |
|
|
Object Detection (HP)
|
100% |
3625
287.5 IPS |
|
|
Object Detection (Q)
|
87% |
5702
457.3 IPS |
|
|
Face Detection (SP)
|
100% |
11493
136.6 IPS |
|
|
Face Detection (HP)
|
100% |
11537
137.1 IPS |
|
|
Face Detection (Q)
|
97% |
16411
195.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9268
71.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9169
70.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
15864
125.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20295
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20343
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39409
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4210
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4233
156.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8055
298.4 IPS |
|
|
Text Classification (SP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3098
4.13 KIPS |
|
|
Text Classification (Q)
|
91% |
2019
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6066
104.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5953
102.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5963
102.7 IPS |
