Gigabyte Technology Co., Ltd. AB350-Gaming 3
Geekbench AI Score
2506
Single Precision Score
1175
Half Precision Score
3423
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 05:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AB350-Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. AB350-Gaming 3-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.8 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
96% |
3644
680.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
1682
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3268
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2702
3.15 IPS |
|
|
Pose Estimation (Q)
|
86% |
7706
9.11 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
58% |
2374
259.3 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
96% |
6621
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4567
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1693
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8384
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8390
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6815
8.76 IPS |
|
|
Style Transfer (Q)
|
87% |
12770
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2526
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
1219
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
642
857.2 IPS |
|
|
Text Classification (Q)
|
97% |
412
551.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2675
51.7 IPS |
