To Be Filled By O.E.M. AB350 Pro4
Geekbench AI Score
4132
Single Precision Score
994
Half Precision Score
5496
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Spiike |
| Upload Date | April 21 2025 01:58 PM |
| Views | 10 |
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% |
2557
475.4 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
94% |
5300
990.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
2423
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
5236
6.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
12678
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
58% |
3658
399.7 IPS |
|
|
Face Detection (SP)
|
100% |
6404
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (Q)
|
96% |
12854
153.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8355
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1265
9.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
12648
100.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16826
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13854
17.8 IPS |
|
|
Style Transfer (Q)
|
87% |
16627
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3011
111.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2569
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.6 IPS |
|
|
Text Classification (Q)
|
97% |
1658
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
3673
71.0 IPS |
