To Be Filled By O.E.M. AB350 Pro4
Geekbench AI Score
4329
Single Precision Score
976
Half Precision Score
5688
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Spiike |
| Upload Date | April 21 2025 02:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| 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% |
2590
481.7 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
94% |
5333
996.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
2442
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6850
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
5177
6.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
12630
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2847
225.9 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
58% |
3697
404.0 IPS |
|
|
Face Detection (SP)
|
100% |
7100
84.4 IPS |
|
|
Face Detection (HP)
|
100% |
491
5.83 IPS |
|
|
Face Detection (Q)
|
96% |
12777
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8335
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1257
9.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
12707
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16790
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13801
17.7 IPS |
|
|
Style Transfer (Q)
|
87% |
16788
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3005
110.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2338
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3478
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
541
722.4 IPS |
|
|
Text Classification (Q)
|
97% |
1671
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
3681
71.1 IPS |
