To Be Filled By O.E.M. AB350 Pro4
Geekbench AI Score
6030
Single Precision Score
6049
Half Precision Score
8776
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Spiike |
| Upload Date | April 21 2025 02:32 PM |
| Views | 5 |
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% |
3638
676.5 IPS |
|
|
Image Classification (HP)
|
100% |
3617
672.7 IPS |
|
|
Image Classification (Q)
|
100% |
5568
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4295
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4317
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6222
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6913
8.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
13949
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
3584
284.3 IPS |
|
|
Object Detection (HP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (Q)
|
87% |
5707
457.7 IPS |
|
|
Face Detection (SP)
|
100% |
11493
136.6 IPS |
|
|
Face Detection (HP)
|
100% |
11430
135.8 IPS |
|
|
Face Detection (Q)
|
97% |
16419
195.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9140
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9171
70.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
15933
125.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20237
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20212
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39231
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4227
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4249
156.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8010
296.7 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (Q)
|
91% |
2032
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
6033
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5976
102.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5886
101.4 IPS |
